Let's learn about Artificial Intelligence via these 306 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.
Humans with irrational brains writing about machines with rational brains.
1. How to Transform Your Data Into a Voice AI Knowledge Assistant
RAIN executives give a full breakdown of the build out and power of AI Voice Assistants.
2. 6 Best Open-Source Projects for Real-Time Face Recognition
3. What is Image Annotation? – An Intro to 5 Image Annotation Services
Image annotation is one of the most important tasks in computer vision. With numerous applications, computer vision essentially strives to give a machine eyes – the ability to see and interpret the world. At times, machine learning projects seem to unlock futuristic technology we never thought possible. AI-powered applications like augmented reality, automatic speech recognition, and neural machine translation have the potential to change lives and businesses around the world. Likewise, the technologies that computer vision can give us (autonomous vehicles, facial recognition, unmanned drones) are extraordinary.
4. Grayscale's (GBTC) Pump Effect Means 2021 Will Start Slow
let's look at what Grayscale is, what this 'pump effect' is, and why it might create sagging prices over the holidays.
5. I Conducted Experiments With the Alpaca/LLaMA 7B Language Model: Here Are the Results
I set out to find out Alpaca/LLama 7B language model, running on my Macbook Pro, can achieve similar performance as chatGPT 3.5
6. How to Label Data — Create ML for Object Detection
7. How to Fix Mouse Scroll Wheel Jumping in Windows 10 [SOLVED]
If you're experiencing mouse scroll wheel jumping, you may have outdated, corrupt, or missing drivers. Another likely reason would be incorrectly configured scrolling settings.
8. How to Make a Gaming Bot that Beats Human Using Python and OpenCV
Learn to create a Python bot that plays an online game and achieves the highest score in the leaderboard beating humans.
9. Machine Un-Learning: Why Forgetting Might Be the Key to AI
Let’s face it — forgetting things sucks. It’s frustrating not to remember where you left your keys or to stumble over your words because you can’t recall the name of that colleague you just ran into at the grocery store. However, forgetfulness is core to the human condition, and in fact, we’re lucky that we’re able to do so.
10. 5 Best Sentiment Analysis Companies and Tools for Machine Learning
Looking for sentiment analysis companies or sentiment annotation tools? If so, you’ve come to the right place. This guide will briefly explain what sentiment analysis is, and introduce companies that provide sentiment annotation tools and services.
11. Top 10 AI Tools to Check Out If You're Bored With ChatGPT
The article showcases the top 10 AI tools that can transform the way you work and live by automating tasks and improving productivity.
12. The Rise of AI Like Chatgpt and Other Chatbots Could Lead to Mass Unemployment
The rise of AI and chatbots brings with it many potential benefits for companies. However, it also raises concerns about the potential for mass unemployment.
13. Top 10 Data Science Project Ideas for 2020
14. Top 5 AI-Enabled Content Generation Tools
Be it healthcare, travel, fitness, finance, or any other industry, the advent of artificial intelligence has revolutionized almost all of them by enabling machines to act and behave like human beings.
15. Top 5 Trends of Artificial Intelligence (AI) 2021
To estimate the trends of Artificial Intelligence (AI) 2021, we need to remember that 2018, 2019 and 2020 witnessed a multitude of platforms, applications, and tools which are based on artificial intelligence and machine learning.
16. Implementing The Perceptron Algorithm From Scratch In Python
17. How to Keep Your Machine Learning Models Up-to-Date
Performant machine learning models require high-quality data. And training your machine learning model is not a single, finite stage in your process. Even after you deploy it in a production environment, it’s likely you will need a steady stream of new training data to ensure your model’s predictive accuracy over time.
18. How to Use AI to Make a 3D Model of Yourself in Seconds
I recently explored Facebook's new, insanely realistic chatbot. They've outdone themselves with PIFuHD, which uses a 2D image to re-construct a high-res 3D model. This is state-of-the-art, as previous algorithms couldn't capture details like fingers, facial features, and clothing folds.
19. 7 Effective Ways to Deal With a Small Dataset
In a real-world setting, you often only have a small dataset to work with. Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if available data is scarce.
20. NLP Tutorial: Topic Modeling in Python with BerTopic
Topic modeling is an unsupervised machine learning technique that can automatically identify different topics present in a document (textual data). Data has become a key asset/tool to run many businesses around the world. With topic modeling, you can collect unstructured datasets, analyzing the documents, and obtain the relevant and desired information that can assist you in making a better decision.
[21. Differential Privacy with Tensorflow 2.0 : Multi class Text Classification
Privacy](https://hackernoon.com/differential-privacy-with-tensorflow-20-multi-class-text-classification-privacy-yk7a37uh)
Introduction
22. Algorithms aren’t racist. Your skin is just too dark.
23. Going From Not Being Able To Code To Deep Learning Hero
24. The Best (and Worst) Punny Jokes Only Data Scientists Will Understand
For the first KDnuggets post on Hacker Noon, we bring you a lighter fare of very nerdy computer humor from the series of self-referential jokes started on Twitter earlier this week. Here are some of our favorites.
If you do understand all of the jokes, then you congratulate yourself on having excellent knowledge of Data Science and Machine Learning! If you have actually laughed at 2 or more jokes, then you have earned MS in Computer Humor! If you just smirked, you probably have a Ph.D. And I have a great joke about AGI, but it will be ready in 10 years.
Enjoy, and if you have more, add them in comments below!
Yann LeCun, @ylecun
25. Top C/C++ Machine Learning Libraries For Data Science
Importance of C++ in Data Science and Big Data
26. Developing AI Security Systems With Edge Biometrics
Let’s speak about usage of edge AI devices for office entrance security system development with the help of face and voice recognition.
27. A Tool to Help Fix SQL Code Using ChatGPT
With ChatGPT's help, you can now make the most out of your SQL queries.
28. Top 9 Free Beginner Tutorials for Machine Learning (ML)
This post includes a round-up of some of the best free beginner tutorials for Machine Learning.
29. 10 Reasons Why you Should Learn Artificial Intelligence
Introduction
30. OpenAI Releases ChatGPT on Steroids, Heating Up AI Wars 🖥️
Bigger. Better. Beefier. That's probably the best way to categorize the latest (and greatest!) version of ChatGPT: GPT-4.
31. The Exciting Technologies Promising to Change Our World
We are witnessing the advance of technology at the fastest rate ever. The future is here.
32. Learning AI if You Suck at Math
If you’re like me, you’re fascinated with AI.
33. 10 Best Image Classification Datasets for ML Projects
To help you build object recognition models, scene recognition models, and more, we’ve compiled a list of the best image classification datasets. These datasets vary in scope and magnitude and can suit a variety of use cases. Furthermore, the datasets have been divided into the following categories: medical imaging, agriculture & scene recognition, and others.
34. How Video Industry Is Leveraging The Power Of AI
When people hear the term artificial intelligence, they start picturing driving cars and human-like robots without even realizing that AI is already being used in many fields. AI, along with IoT, is also being used in your home and kitchen appliances.
35. Elon Musk Says This Is the Future of Warfare
Elon Musk is no stranger to looking to the future. His companies are some of the most forward-thinking in the world.
36. 9 Best Machine Learning, AI, and Data Science Internships in 2022
Here are the Top 9 ML, AI, and Data Science Internships to consider for 2022 if you want to get into any of these very lucrative fields in computer science.
37. 5 Cool Python Project Ideas For Inspiration
In the past few years, the programming language that has got the highest fame across the globe is Python. The stardom Python has today in the IT industry is sky-high. And why not? Python has got everything that makes it the deserving candidate for the tag of- “Most Demanded Programming language on the Planet.” So, now it’s your time to do something innovative.
38. Is The Third AI Winter Coming?
People have countless fantasies about Artificial Intelligence. It has become the most popular theme in novels and movies. When we dream about AI, we often fancy a world with Iron Man and his intelligent assistant J.A.R.V.I.S (or it’s replacement FRIDAY); Baymax from Big Hero 6; or the high-tech adult theme park from Westworld.
39. Blockchain 3.0 - Taking DLT to the Next Level with AI-Integration
Distributed Ledger Technology (DLT) has been through several iterations over the years and currently exists in several forms. The most popular of which, blockchain, was made famous by the cryptocurrency Bitcoin as it grew in popularity over the past decade. Some other DLT concepts which support cryptocurrencies include Nano's block directed acyclic graph (blockDAG) and IOTA's transaction-based directed acyclic graph (TDAG).
40. I Made a Python Bot That Can Solve Multiple-Choice Question From Any Given Image [incl. Code]
In this post I am going to show you how to build your own answer finding system with Python. Basically, this automation can find the answer of multiple-choice question from the picture.
41. Could the Tech in "Tomorrowland" Movie Become a Reality by 2050?
Two things appear to be repetitively accurate about emerging technologies. First, content production studios often set unrealistic expectations on what’s possible and what isn’t with new devices and systems. Second, innovators of all types are doing their best to catch up with fiction and sometimes have to remind everybody that what’s onscreen can be misleading.
42. How to Visualize Bias and Variance
In the process of building a Machine Learning model, there is a trade-off between bias and variance.
43. Top 15 Chatbot Datasets for NLP Projects
An effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems.
44. The Weird and Wonderful World of AI Art
While the vast majority of developments in AI technology have centered around practical solutions such as self-driving cars and facial recognition, there's a growing number of artists using AI systems to develop new ideas for artistic projects and generate entirely unique pieces of work.
45. 20 Best Machine Learning Resources for Data Scientists
46. Coding Artificial Intelligence and Machine Learning with Kids Using … Starbursts?
47. Learning AI If You Suck at Math — P6 — Math Notation Made Easy!
If you’ve followed parts 1, 2, 3, 4, 5 and 7 of this series you know that you really don’t need a lot of math to get started with AI. You can dive right in with practical tutorials and books on the subject.
48. Examples of AI Implementation in Transport
AI is disrupting many industries, and its impact could be felt across the transport sector. The automotive industry has begun applying artificial intelligence in critical tasks such as self-driving cars, traffic management, etc. where safety and reliability is a major concern. Even though the technology is not being implemented on a wide scale, but it feels like the future of transportation is here. From Tesla’s Autonomous Semi Truck to self-organizing fleets, AI has shown promising results in this domain.
49. Using BERT Transformer with SpaCy3 to Train a Relation Extraction Model
A step-by-step guide on how to train a relation extraction classifier using Transformer and spaCy3.
50. Neutron: A $4000 RTX 2080Ti (MSI) Deep Learning box (8700k/64GB/2080Ti)
51. We're collecting AI problem statements to crowdsource solutions to data scientists
As technology penetrates every facet of life, and continues to grow exponentially, the solution potential becomes enormous. At the same time, we're in a world where billions live in poverty, and millions are on the brink of famine. In order to support an ever-growing populace, we need to leave no stone un-turned in the search for solutions. AI provides many potential solutions to humanity's greatest challenges."AI" is a vague, even confusing term. If you hear the phrase "artificial intelligence," you might wonder why there aren't sentient robots walking around, or why everyone isn't in self-driving cars already. The reality is that "AI" is just a marketing term for a set of computational statistical tools, or more simply, algorithms.However, as versatile as mathematics is, so is AI. AI is limited by (primarily) a couple things: data and computational power. Both the data and the compute power we have available are growing exponentially, so AI is becoming more and more powerful.With this increase in data and computational ability, AI is now being used in a wide variety of applications.For example, bitgrit (disclaimer: I'm CEO), collects meaningful AI problem statements to crowd-source solutions to data scientists. Some problem statements include saving animals’ lives, increasing agricultural yield, and speeding up healthcare claims processing.Michael Suttles, CEO at Save All The Pets, explains how data and AI can be used to save shelter animals:
52. 7 Benefits of AI-Enabled Document Management Systems
Traditional cabinets — stuffed with contracts, vendor agreements,
onboarding paperwork, and other documents — are harming productivity even in 2020. According to Xerox, SMBs waste 46% of their time dealing with document management issues. In this article, I'll explain how you can maximize workplace efficiency by switching to an AI-enabled document management system.
53. Learning AI if You Suck at Math — P4 — Tensors Illustrated (with Cats!)
Welcome to part four of Learning AI if You Suck at Math. If you missed parts 1, 2, 3, 5, 6 and 7 be sure to check them out.
54. How Artificial Intelligence Is Redefining Art
Art has long been considered the exclusive domain of human creativity. But turns out machines can do a lot more in the creative realm than we humans can imagine. In October 2018, Christie’s sold first AI-generated painting for $432,500. Titled Edmond de Belamy, the artwork was expected to sell for $10,000. Obvious art created this masterpiece using Generative Adversarial Network (GAN) algorithm by feeding the system with 15,000 portraits created between the 14th and 20th century. While images created using AI have been floating around on the internet for a while now, Edmond de Belamy proved that machines can bring a new genre of art.
55. The Role of AI in the IoT Revolution
It is true that IoT or Internet of Things revolution is going on, and AI or Artificial Intelligence can play a vital role in it. Let’s know how the amalgamation of both technologies can change the scenario of the future in the current post.
56. How Big Data Will Impact the Accounting Industry
If I say that we have officially entered into the age of data, it would not be farfetched. According to the World Economic Forum, the total data produced in a day would reach to 44 zettabytes in 2020.
57. What is the Difference Between Machine Learning and Human Learning?
<em>Both human as well as machine learning generate knowledge — but there’s a big difference between the two.</em>
58. GPT-3 is Already Making Programmers' Lives Better and There's More to Come
GPT-3 was meant to understand and construct natural language. But as these tools prove, it's pretty good at programming languages, too.
59. 7 Sneaky Ways Hackers Are Using Machine Learning to Steal Your Data
Machine learning is famous for its ability to analyze large data sets and identify patterns. It is basically a subset of artificial intelligence. Machine learning uses algorithms that leverages previous data-sets and statistical analysis to make assumptions and pass on judgments about behavior.
The best part, software or computers powered by machine learning algorithms can perform functions that they have not been programmed to perform.
60. Real GANs in AI
Current AI trends will determine how companies can make projections of the AI future and successfully mitigate risks.
61. Technology Trends for 2021: A Forecast from Hacker Noon’s Top Writers
I asked 10 of Hacker Noon’s Top Contributors to weigh in with their strategic tech predictions for 2021 — you can expect a 14-minute briefing on everything from recession startups and (self) edtech, to AI applied to end Covid-19 and the commoditization of Machine Learning.
62. Top 20 Image Datasets for Machine Learning and Computer Vision
Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do.
63. THE BEST Photo to 3D AI Model !
As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world.
64. I tried ChatGPT from OpenAI and my mind was blown
I wasn’t around when the internet was discovered for the first time but I could only imagine this must be what it’s like to do so.
65. How AI Is Transforming The Future Of Healthcare Industry
66. 10 Best Stock Market Datasets for Machine Learning
For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.
67. Anscombe’s Quartet And Importance of Data Visualization
Anscombe’s quartet comprises four data sets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.
— Wikipedia
68. Beginner's Guide to Product Categorization in Machine Learning
Product categorization, sometimes referred to as product classification, is a field of study within natural language processing (NLP). It is also one of the biggest challenges for ecommerce companies. With the advancement of AI technology, researchers have been applying machine learning to product categorization problems.
69. Why I Dropped Out of College in 2020 to Design My Own ML and AI Degree
Most people would think I was crazy for starting 2020 as a college dropout (sorry mom!), but I wish I made this decision sooner.
70. Basic Use Cases of AI, ML, Deep Learning and Internet of Things
71. The Real World Potential and Limitations of Artificial Intelligence
No longer does artificial intelligence only exist in sci-fi movies and books about dystopian futures. It’s in the here and now, continuously transforming the way in which we live and work.
72. Introductory Guide To Real-time Object Detection with Python
73. Deploying Deep Learning Models with Model Server
Learn how to deploy deep learning models with Model Server.
74. 7 Robotic Process Automation (RPA) Predictions for 2020
75. AI in Fitness: Top 10 AI-based Personal Trainers
Health is wealth- we all refer to this old saying to highlight the importance of health and fitness in our lives. But how many of us do actually have a fitness routine? Digging deeper into the facts; approximately 3/4th of adults worldwide do not exercise at all. In fact, inadequate physical activity has been identified as one of the main risk factors of death worldwide over the past decade.
76. Getting My ChatGPT Plus Subscription Is an Inflection Point
Seeing ChatGPT in action has felt to me like the first time I saw a web browser, or I realized I could surf the Internet from the tiny screen of my Palm Treo.
77. I Compiled a List of Tech’s “Next Big Things” So You Wouldn’t Have to
2030 will be weird
78. Learning AI if You Suck at Math — Part Two — Practical Projects
If you read the first article in this series, you’re already on your way to upping your math game. Maybe some of those funny little symbols are starting to make sense.
79. MIDAS: A State-of-the-Art Model for Anomaly Detection in Graphs
In machine learning, hot topics such as autonomous vehicles, GANs, and face recognition often take up most of the media spotlight. However, another equally important issue that data scientists are working to solve is anomaly detection. From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.
80. Artificial Intelligence in Mobile App Development in 2020
This is today's reality: Artificial intelligence has already made a lot of buzz in the mobile app development industry. More cheap and available screens, easy real-time access to the data robust analysis tools have become even more powerful - all of this is already a normal part of our daily routine in society.
81. Unlocking the Secrets of ChatGPT: Tips and Tricks for Optimizing Your AI Prompts
As one of the most advanced AI models, ChatGPT offers the potential to transform the way we approach tasks in both professional and personal settings.
82. Steal This Idea and Make a Billion Dollars: AI Video Game Accelerator Cards
AI is on the rise. In some ways it was always inevitable. But ask any researcher who suffered through the 1990s in AI research and they might not agree. AI and neural networks in particular were considered a backwater for researchers for decades. If you wanted a dead end career go into neural nets. In the 1990s, one of the leading thinkers behind neural networks, Geoffrey Hinton, could barely get funding. Nobody came to his classes. He worked on his ideas in isolation.
83. Why Deep Reinforcement Learning is the Future of Automated Trading?
Image Courtesy:- Pexels.com
84. I Asked AI to Write Poems and Raps – Here Are the Results
I told AI to Write Poems and Raps – Here are The Results of Human-AI collaboration.
85. 11 Awesome (and Worrisome) Applications of AI
For years AI was touted to be the next big technology. Expected to revolutionize the job industry and effectively kill millions of human jobs, it became the poster child for job cuts. Despite this, its adoption has been increasingly well-received. To the tech experts, this wasn’t really surprising given its vast range of use cases.
86. A list of artificial intelligence tools you can use today — for personal use (1/3)
Artificial Intelligence and the fourth industrial revolution has made some considerable progress over the last couple of years. Most of this current progress that is usable has been developed for industry and business purposes, as you’ll see in coming posts. Research institutes and dedicated, specialised companies are working toward the ultimate goal of AI (cracking artificial general intelligence), developing open platforms and the looking into the ethics that follow suit. There are also a good handful of companies working on AI products for consumers, which is what we’ll be kicking this series of posts off with.
87. Learning AI if You Suck at Math — P7 — The Magic of Natural Language Processing
After discovering the amazing power of convolutional neural networks for image recognition in part five of this series, I decided to dive head first into Natural language Processing or NLP. (If you missed the earlier articles, be sure to check them out: 1, 2, 3, 4, 5, 6.)
88. Artificial Intelligence Vs Machine Learning: What's the difference?
AI and Machine Learning are predominant terms that are creating a lot of buzz in the technology world. The terms can often be used interchangeably but that’s not the case, AI and ML are way more different from each other in their approach, algorithms and logical thinking.
89. How to Turn Mockups Into Videos Instantly with This New AI Model
GEN-1 is able to take a video and apply a completely different style onto it, just like that…
90. Using Reflective Writing and ChatGPT to Create a Solid Resume
Create an effective résumé by using a narrative of your work history and AI tools. Reduce complexity when you are stuck and need to reflect before the résumé.
91. Amazing Examples of AI and Machine Learning Applications
Nowadays artificial intelligence (AI) and machine learning are impacting our daily lives in many different ways. They help businesses make decisions and optimize operations for some of the world's leading companies. As a result, there will be a huge change in jobs and employment in the future.
92. What You Need to Know About AI Prompts
That’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.
93. What is the Future for SQL Developers in a Machine Learning World?
Do you know the machine learning global market is estimated to reach $30.6 billion by 2024? This marvellous growth is the outcome of Omni-presence of artificial intelligence and its trending subset; machine learning.
94. PixelLib: Image and Video Segmentation [Maybe just a Quick One]
PIxelLib: Image and video segmentation with just a few lines of code.
95. Image Annotation Types For Computer Vision And Its Use Cases
There are many types of image annotations for computer vision out there, and each one of these annotation techniques has different applications.
96. New Technologies Are Revolutionising The World Of Vending Machines - For The Better
It was only a matter of time before artificial intelligence (AI), machine learning and other newfangled technologies worked their way into the food and beverage world. Already, AI has revolutionised the healthcare, music, finance and manufacturing industries, and we are beginning to see its application in urban planning, education and fashion. But until now the f&b market has remained largely untouched.
97. Top 5 Technology Innovations in 2020 You Have to Be Ready For
98. How to Implement AI in Business
From taking your customers’ calls to figuring out why your equipment is consuming way more energy than it used to, AI is capable of many things.
99. Ditching Google: the 3 Search Engines That Use AI to Give Results That are Meaningful
If you’re the type that wants straight answers to every query without going through several blog posts, then you should consider AI-chat search engines.
100. ‘Data Science Is Not a Math Skill but a Life Skill’: Noonies Nominee Kirk Borne
From astrophysics to data science, here's a story of a lifetime journey with modeling the Universe and other dynamic things that move through space and time.
101. 8 Best AI Conferences to Attend in 2022
Here’s the full list of top AI conferences to attend in 2022, from the most technical to business-focused to academic
102. AI in Five, Fifty and Five Hundred Years — Part Two — Fifty Years
Check out part one of this series for what the next five to fifteen years looks like in AI. In part two we get super sci-fi and see if our crystal ball can reach 50 years into the future.
103. Why AI Will Bring an Explosion of New Jobs
AI terrifies a lot of people.
104. Top 20 Twitter Datasets for Machine Learning Projects
It is often very difficult for AI researchers to gather social media data for machine learning. Luckily, one free and accessible source of SNS data is Twitter.
105. A beginner’s guide to Computer Vision in Retail
Anyone with a wet finger in the air will by now have heard of the “retail apocalypse” sweeping through the developed world’s malls. “People aren’t spending in stores anymore”, your quarter-informed uncle complains, before moaning that youths are too busy Instagramming their avocado brunches to burn crosses on people’s lawns. Indeed, the old retailing models aren’t working as well as they used to. The fact that they were terrible models to start with probably had something to do with it.
106. Top 10 Artificial Intelligence Trends in 2020
107. Getting Started With Pytorch In Google Collab With Free GPU
108. Karate Club a Python library for graph representation learning
Karate Club is an unsupervised machine learning extension library for the NetworkX Python package. See the documentation here.
109. OpenAI's New Model is Amazing! DALL·E 2 Explained Simply
Last year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution!
110. How AI is Improving the Fitness Industry
AI solutions utilized in health & fitness have been transforming the industry. AI is now focusing on reshaping the specific habits of people.
111. How to Build a Web Scraper With Python [Step-by-Step Guide]
On my self-taught programming journey, my interests lie within machine learning (ML) and artificial intelligence (AI), and the language I’ve chosen to master is Python.
112. 6 Biggest Limitations of Artificial Intelligence Technology
While the release of GPT-3 marks a significant milestone in the development of AI, the path forward is still obscure. There are still certain limitations to the technology today. Here are six of the major limitations facing data scientists today.
113. 9 Best Data Engineering Courses You Should Take in 2023
In this listicle, you'll find some of the best data engineering courses, and career paths that can help you jumpstart your data engineering journey!
114. Artificial Intelligence: Stats and Facts You Should Know in 2020
TV shows and fiction aside, the present day examples of basic AI are
Google Voice, Cortana, Alexa, Siri and chatbots. However, AI isn’t just
limited to voice assistants, it’s turning tables in other domains and
industries as well. Several restaurants for instance have bots for room
service, serving food and carrying luggage.
115. How To Apply Machine Learning And Deep Learning Methods to Audio Analysis
To view the code, training visualizations, and more information about the python example at the end of this post, visit the Comet project page.
116. The Best ChatGPT Prompts For Content Strategy and Creation
An effective guide on ChatGPT prompts to help people use ChatGPT better
117. Artificial Intelligence and Big Data
Artificial Intelligence and Big Data. These two terms seem to permeate the tech world in every possible way one can think of. Along with giant terms like Machine Learning, IoT, blockchain and related ones, AI and Big Data are set to dominate our world in the years ahead.
118. Here’s How Libratus, a Poker-Playing AI, Bluffed Four Professional Texas Holdem Players
The world of technology is changing at a faster rate than we can possibly fathom. Long gone are the days when we were the sole trailblazers in a human-tech relationship when the incentive resided in our hands.
119. How to Use ChatGPT for Marketing
Neural networks are being used everywhere now, even in marketing and startups. Let's look at 9 examples to see how they can help.
120. Understanding the Impact of Artificial Intelligence on Agriculture
According to recent projections by the UN:
121. Top 10 Open Datasets for Linear Regression
On Hacker Noon, I will be sharing some of my best-performing machine learning articles. This listicle on datasets built for regression or linear regression tasks has been upvoted many times on Reddit and reshared dozens of times on various social media platforms. I hope Hacker Noon data scientists find it useful as well!
122. A list of artificial intelligence tools you can use today — for businesses (2/3)
123. 11 Best Climate Change Datasets for Data Science Projects
Data is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more. Many of these datasets have been made public to allow people to contribute and add valuable insight into the way the climate is changing and its causes.
124. What's The Best Image Labeling Tool for Object Detection?
An image labeling or annotation tool is used to label the images for bounding box object detection and segmentation. It is the process of highlighting the images by humans. They have to be readable for machines. With the help of the image labeling tools, the objects in the image could be labeled for a specific purpose. The process of object labeling makes it easy for people to understand what is in the image. The labeling tool helps the people to mark the items in an image. There are several image labeling tools for object detection, and some of them use varied techniques for detection of the object, like a semantic, bounding box, key-point, cuboid, semantic and many more. In this article, we will talk about image labeling and the best image labeling tools.
125. How to Convert Speech to Text in Python
Speech Recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to textual information.
126. Learning AI if You Suck at Math — P5 — Deep Learning and Convolutional Neural Nets in Plain…
Welcome to part five of Learning AI if You Suck at Math. If you missed parts 1, 2, 3, 4, 6, and 7 be sure to check them out!
127. 8 Use Cases for Voice Cloning with Artificial Intelligence
If you thought that voice cloning and deepfakes are recent buzzwords, think again. The first original record of mimicking human voice dates back to 1779, in Russia. Professor Christian Kratzenstein built acoustic resonators that mimicked the human vocal tract when activated by means of vibrating reeds (just like wind instruments), in his lab in St. Petersburg.
128. How AI and Big Data Are Changing Customer's Experience
Technology is altering the lives of people and thus changing all business practices and operations. As a result, every industry is now focusing on adopting new and innovative technologies in their business ventures. The customer service industry is no exception in this case as it has turned into a unique turning point for businesses.
129. Quantum Machine Learning Using TensorFlow Quantum
130. A Proposal for the Universal Solution to Fake News
Powered by AI, DLT, and a global Community
131. How No-Code Can Rekindle Your Relationship With Data Science
132. Driver Drowsiness Detection System: A Python Project with Source Code
Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.
133. Top Dev Jokes Of 2019
Having fun while developing is necessary for programmers and developers. No matter how much serious or tough the situation is, one should always take things lightly when it comes to software development.
134. Math GPT: Can AI Help Solve Unified Theory ?
What if we trained AI to complete equations instead of images of Cats?
135. 10 Best Reddit Datasets for NLP and Other ML Projects
In this post, I wanted to share a Reddit dataset list that gained a lot of traction on social media when it was first posted.
136. Beat The Heat with Machine Learning Cheat Sheet
If you are a beginner and just started machine learning or even an intermediate level programmer, you might have been stuck on how do you solve this problem. Where do you start? and where do you go from here?
137. How Does DALL·E mini Work?
Dalle mini is amazing — and YOU can use it!
138. How to Interpret A Contour Plot
Contour Plot
139. I Interviewed One of The World's Most Advanced AI Systems: GPT3
We interviewed GPT-3, one of the World's Most Advanced General-Purpose AI because, why not?! We asked questions like "Do you know what your core purpose is?"
140. Top 12 Twitter Feeds to Learn About AI
For those interested in AI, make sure these twelve AI Twitter accounts are on your daily feed.
141. Living in the world of AI - The Human Transformation
Today, if you stop and ask anyone working in a technology company, “What is the one thing that would help them change the world or make them grow faster than anyone else in their field?” The answer would be Data. Yes, data is everything. Because data can essentially change, cure, fix, and support just about any problem. Data is the truth behind everything from finding a cure for cancer to studying the shifting weather patterns.
142. Facial Recognition Comparison with Java and C ++ using HOG
HOG - Histogram of Oriented Gradients (histogram of oriented gradients) is an image descriptor format, capable of summarizing the main characteristics of an image, such as faces for example, allowing comparison with similar images.
143. What AI Has to Offer to the Media and Entertainment Industry
The 21st century is a time where human ingenuity crafts the technology in the first place and then cooperates with its creation. This is the closest we’ve ever come to being “gods” - we create autonomous beings that help us in many ways.
144. Deepmind May Have Just Created the World's First General AI
Gato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents.
145. Fifty Shades of SexTech: How Sexuality Meets Technology
All you need to know about the SexTech industry: from Teledildonics and interactive robotic sex partners to AI-based oral sex devices and much more.
146. How to Remove Gender Bias in Machine Learning Models: NLP and Word Embeddings
Most word embeddings used are glaringly sexist, let us look at some ways to de-bias such embeddings.
147. Open Source Explained by 1980s Cartoons
Reader, I have a confession. I’m really into bad 1980's cartoons. You know, the ones that are little more than animated toy commercials? I’ve learned so many life lessons from those hours in front of a flickering analog TV.
148. The Intersection of Blockchain, Internet of Things, and Artificial Intelligence
We have been living in the digital era of the internet, that is evolving with each passing day and with the advancement in technology, the inhibiting issues of the modern age internet have been liberated with the amalgamation of Blockchain, AI and IoT.
149. My Time at NUS, Singapore
Singapore is home to some of the best schools in the field of Computer Science, specifically Artificial Intelligence. The cutting edge research going on there is unparalleled. Colleges like Nanyang Technological University (NTU) and National University of Singapore (NUS) have a great reputation all over the world for their CS programs.
150. Top AI and ML YouTube Channels for Data Scientists to Subscribe to
Subscribe to these Machine Learning YouTube channels today for AI, ML, and computer science tutorial videos.
151. Eleven Trending AI Chatbot Platforms
The artificial intelligence of the chatbots is revolutionizing the customer experience. They can provide useful information to customers when they need it. Hence, a number of companies that use AI Chatbots have grown exponentially. It provides them with proactive assistance to their customers.
152. ChatGPT is a Plague Upon Online Publications
Ethics are a crucial part of Artificial Intelligence, which is why tech like ChatGPT must go through gruelling tests of bias.
153. Entendiendo PyTorch: las bases de las bases para hacer inteligencia artificial
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154. Demystifying Different Variants of Gradient Descent Optimization Algorithm
155. How Machine Learning is Used in Astronomy
Is Astronomy data science?
156. The Evolution and Future of AI in the Stock Market
AI-powered trading holds several advantages over its algorithm-only predecessors. An AI-powered system can make decisions based on rich data in real-time.
157. ChatGPT Explained in 5 Minutes
ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides.
158. Where to Learn Machine and Deep Learning for Free
159. A Data Scientist's Guide to Semi-Supervised Learning
Semi-supervised learning is the type of machine learning that is not commonly talked about by data science and machine learning practitioners but still has a very important role to play.
160. From Big Data to Personal Lives: This Is How AI-Powered Tools Will Help Today’s Professionals
“AI is everywhere around us. We are living with it every day, and we are loving it.”
161. Intro to Audio Analysis: Recognizing Sounds Using Machine Learning
162. Essential Guide to Transformer Models in Machine Learning
Transformer models have become the defacto standard for NLP tasks. As an example, I’m sure you’ve already seen the awesome GPT3 Transformer demos and articles detailing how much time and money it took to train.
163. Imagic: AI Image Editing from Text Commands
This week’s paper may just be your next favorite model to date.
164. The Magic of Feedback Loops: AI Takes Over
How did we let the algorithms take over our lives?
165. Top 10 Artificial Intelligence(AI) Applications That are being Used in 2020
AI (Artificial Intelligence) is one of the science & technology advancements most common in the world. It explains the application of artificial intelligence & accuracy at the human level. In other words, computers are learning to think and behave like humans. Machines & apps for artificial intelligence have been of great value to humans, helping to provide simpler and more reliable ways to get things completed.
166. The Full Story behind Convolutional Neural Networks and the Math Behind it
Convolutional Neural Networks became really popular after 2010 because they outperformed any other network architecture on visual data, but the concept behind CNN is not new. In fact, it is very much inspired by the human visual system. In this article, I aim to explain in very details how researchers came up with the idea of CNN, how they are structured, how the math behind them works and what techniques are applied to improve their performance.
167. Useful Applications of Generative AI
As generative AI tools like ChatGPT grow in popularity, the applications appear to be endless. Here are some of the most useful applications of generative AI.
168. How E-Commerce is Getting Smarter with Artificial Intelligence
169. Introducing theHolopix50k Dataset for Image Super-Resolution
Depth estimation and stereo image super-resolution are well-known tasks in the field of computer vision. To help researchers get high-quality training data for these tasks, industry-leading lightfield hardware provider Leia Inc. used their social media app, Holopix™, to create Holopix50k, the world’s largest “in-the-wild” stereo image dataset.
170. AI and Dynamic Pricing – Secret Weapon of Tech Giants Today
One price for everyone! The invention of price tag took place in the 1870's to maintain the fairness of everybody looking to buy the product they love. Dynamic pricing had always been the norm ever since human history. A century back even the ticket for a cinema was charged less for a matinee screening as compared to the usual popular evening shows.
171. 5 Ways Artificial Intelligence Will Forever Change How We View The Battlefield
The Role of A.I in War
172. Reflinks vs symlinks vs hard links, and how they can help machine learning projects
Hard links and symbolic links have been available since time immemorial, and we use them all the time without even thinking about it. In machine learning projects they can help us, when setting up new experiments, to rearrange data files quickly and efficiently in machine learning projects. However, with traditional links, we run the risk of polluting the data files with erroneous edits. In this blog post we’ll go over the details of using links, some cool new stuff in modern file systems (reflinks), and an example of how DVC (Data Version Control, https://dvc.org/) leverages this.
173. Use plaidML to do Machine Learning on macOS with an AMD GPU
Want to train machine learning models on your Mac’s integrated AMD GPU or an external graphics card? Look no further than PlaidML.
174. AI in Five, Fifty and Five Hundred Years — Part Three — Five Hundred Years
Check out part one and two of this series for the first five and fifty years in AI. In part three we push the very limits of reality and look 500 years into the swirling depths of tomorrow.
175. How To Use Microsoft Excel To Classify Your Data
An accessible introduction to ML - no programming or math required. By the end of this tutorial, you’ll have implemented your first algorithm without touching a single line of code. You’ll use Machine Learning techniques to classify real data using basic functions in Excel. You don’t have to be a genius or a programmer to understand machine learning. Despite the popularized applications of self-driving cars, killer robots, and facial recognition, the foundations of machine learning (ML) are quite simple. This is a chance to get your feet wet and understand the power of these new techniques.
176. How I Broke Into Data Science
A software engineer’s journey into data science at Yelp and Uber
177. How AI Could Destroy The Universe… With Paperclips!!!
Provocative headline aside, a fun paperclip-making game hints at why some of Big Tech’s A.I efforts should curbed.
178. How Artificial Intelligence Hype Keeps Us Stuck in “The Good Old Days”
Artificial Intelligence, or "AI" means different things to different people, but they all concern the way women and minorities relate to technology, and how those technologies adapt to us — or don’t.
179. Can GPT-3 Finish Writing My Zombie Novel?
My biggest worry (and excitement) is that AI will progress enough to become more creative than humans.
180. A Roundup Review of the Latest Deep Learning Books
181. Implementing different variants of Gradient Descent Optimization Algorithm in Python using Numpy
Learn how tensorflow or pytorch implement optimization algorithms by using numpy and create beautiful animations using matplotlib
182. How the Quantum Computer will Change our Lives
The countdown has now begun. For some it will take 15 years, for others it will only take 10, but the quantum computer is a near reality and is likely to bring about a huge change in the history of mankind.
183. Interviews with My Machine Learning Heroes
Meta Article with links to all the interviews with my Machine Learning Heroes: Practitioners, Researchers and Kagglers.
184. Learning AI if You Suck at Math — P3 — Building an AI Dream Machine or Budget Friendly Special
Welcome to the third installment of Learning AI if You Suck at Math. If you missed the earlier articles be sure to check out part 1, part 2, part 4, part 5, part 6 and part 7.
185. Improve Machine Learning Model Performance by Combining Categorical Features
Learn how to combine categorical features in your dataset to improve your machine learning model performance.
186. #Mythbusting 10 Artificial Intelligence Misconceptions
Today, misconceptions about AI are spreading like wildfire.
187. How Intelligent Systems and Robots Will Be Designed In The Near Future
As of now, designing parts for an intelligent system involves building up the parts from the ground up. From 2D sketches to a feasible and robust part that can be manufactured based on given constraints of cost, material, and maximum weight. This often takes days to weeks, depending on the complexity of the parts that comprise the intelligent system.
188. The Essential Architectures For Every Data Scientist and Big Data Engineer
Comprehensive List of Feature Store Architectures for Data Scientists and Big Data Professionals
189. Meta's New Model OPT is an Open-Source GPT-3
We’ve all heard about GPT-3 and have somewhat of a clear idea of its capabilities. You’ve most certainly seen some applications born strictly due to this model, some of which I covered in a previous video about the model. GPT-3 is a model developed by OpenAI that you can access through a paid API but have no access to the model itself.
190. Pycaret: A Faster Way to Build Machine Learning Models
Pycaret is an open-source, low code library in python that aims to automate the development of machine learning models.
191. How We Taught Artificial Intelligence to Sell
Introduction
192. AI in Five, Fifty and Five Hundred Years — Part One
As I said in my article What Will Bitcoin Look Like in Twenty Years:
193. Face Recognition On The Wall; Google's AutoML Edge Democratizes ML For All
Machine learning can be complex and overwhelming. Luckily Google is on its way to democratize machine learning by providing Google AutoML, a Google Cloud tool to handle all the complexity of machine learning for common use cases.
194. Neural Tech and Brain Computer Interfaces (BCI) in Video Games: An Overview
Recently, I attended a virtual conference on the use of neuro technology and BCI (Brain Computer Interfaces or BMI, Brain Machine Interfaces) in gaming, put on by NeurotechX.
195. Machine Learning News Roundup - 6 Essential AI Articles of 2019
196. The Awesome Duo: 6 Cases of How FinTech Benefits From AI
Photo by Alice Pasqual on Unsplash
197. This AI Creates Videos From a Couple of Images
Researchers created a simple collection of photos and transformed them into a 3-dimensional model.
198. Simple Answers to Artificial Intelligence’s FAQs.
I’m pretty sure that at this point you simply were too afraid to ask.
199. Investing in A Disruptive Technology: A How-to Guide
As a person eager to discover new trends and tech opportunities, I decided to dwell upon the idea of “disruptors” and explain why these technologies are the game-changers in different areas of our lives.
200. The Facebook TransCoder Explained: Converting Coding Languages with AI
This new model converts code from a programming language to another without any supervision!
201. How Far Are We From a Real World Jarvis?
A Brief History of NLP Applications in the 21st Century
202. Future of Job Sharing Economy: Human Decides. AI Supports. Blockchain Pays.
If you were ever searching for a job during the past two decades, there’s a good chance you’ve used an online job board; a website that lists jobs supplied by employers. Such a “board” could’ve been found on shop windows, in newspapers, and now on the Internet.
203. 19 Saucy Tech Predictions For 2019
First and foremost, let me get the lazy predictions out of the way:
204. Learning AI If You Suck at Math - Part Eight - The Musician in the Machine
"AI isn't just creating new kinds of art; it's creating new kinds of artists.” - Douglas Eck, Magenta Project
205. Tech Trends 2020: Poised to Transform the Future of Enterprises
Do you know that nearly 6,140 mobile apps are pushed out every day through the Google Play Store? Sounds astonishing right? But it is a fact and that’s why it is important that every entrepreneur know about the Tech Trends 2020.
206. Lessons Learned From Conducting 100+ ChatGPT User Interviews
This story reveals what people are looking for by summarizing what they need after 100+ user interviews
207. Best Facial Recognition Software to Use in 2021
208. Will Transformers Replace CNNs in Computer Vision?
This video explains how transformer architecture can be applied to computer vision with a new paper called the Swin Transformer.
209. Why 87% of Machine learning Projects Fail
This article will serve as a lesson on the shocking reasons for your AI adoption disaster. We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner’s predictions, “Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization” and Transform 2019 of VentureBeat predicted that 87% of AI projects will never make it into production.
210. Creating neural networks without human intervention
…And where is the blockchain in it?
211. Everything You Need to Know About Google BERT
Google BERT will help you to kickstart your NLP journey by showing you how the transformer’s encoder and decoder work.
212. AI in Digital Marketing is Already Here [An Analysis]
Artificial intelligence will inevitably be all around us one day. At work, at home, on the street, maybe even in our dreams.
213. Could a Smart City with an ET City Brain Ever Rule the Entire World?
Life becomes very frustrating when your destination is 20 minutes far but it took you 1 hour to reach there because of traffic jams. Think about the time and amount of fuel getting wasted. According to Harvard Center researchers, in the United States, traffic congestion caused more than 2200 deaths because the patient failed to reach the nearest hospital on time, then there is a loss of economic cost when the drivers are stuck in traffic for 42 hours every year wasting more than 121 billion dollars on time and fuel. This is the data of only 1 country. Think of all the countries in the world, How much fuel and economy is wasted every year? Also, it causes air pollution which is bad for our health and climate. So to solve the real-time problems caused by traffic congestion, the government of Hangzhou city of china with the help of Alibaba Cloud (a cloud computing company) created a system called ET City Brain.
214. Anomaly Detection Strategies for IoT Sensors
215. 5 Companies Developing Computer Vision Technology in 2020
Computer vision technology is the poster child of artificial intelligence. It is the sector of the industry that gets the most media attention because of the tools and benefits the technology can provide. From autonomous vehicles and drones to cancer detection and augmented reality, technologies that once only existed in science fiction are now at our doorstep.
216. Using Reinforcement Learning to Build a Self-Learning Grasping Robot
Tips and tricks to build an autonomous grasping Kuka robot
217. Manipulate Images Using Text Commands via this AI
Manipulate Real Images With Text - An AI For Creative Artists! StyleCLIP Explained
218. 8 Companies Using Machine Learning in Cool Ways
When asked what advice he'd give to world leaders, Elon Musk replied, "Implement a protocol to control the development of Artificial Intelligence."
219. An Introduction to Patient Engagement Solutions
The healthcare sector has been slow in adopting technology. However, times are changing, and an increasing number of patients want to benefit from digitalization. According to a recent survey by Accenture, 60% of respondents prefer to use technology for patient-provider communication. Consequently, digital healthcare solutions are gaining popularity.Particularly, this change is reflected in the growth of the patient engagement market. The global patient engagement solutions market size was valued at $15.1 billion in 2020, and it is estimated to expand at a CAGR of 21.4% by 2028. The US patient engagement technology market, meanwhile, is expected to reach $9.4 billion by 2023.
220. Reinforcement Learning: 10 Real Reward & Punishment Applications
In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones.
221. Scanning and Detecting 3D Objects with iPhone's Lidar Technology
The development of Artificial Reality is advancing even faster than was predicted. With the introduction of the LIDAR sensor to iPhone Pro, it seems like AR will become available to mainstream users.
222. 6 important Python Libraries for Machine Learning and Data Science
In this guide, we’ll show the must know Python libraries for machine learning and data science.
223. Unpredictability of Artificial Intelligence
The young field of AI Safety is still in the process of identifying its challenges and limitations. In this paper, we formally describe one such impossibility result, namely Unpredictability of AI. We prove that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives, even if we know terminal goals of the system. In conclusion, impact of Unpredictability on AI Safety is discussed.
224. Top 10 Computer Vision Papers of 2021: HackerNoon Edition
The 10 most interesting computer vision papers in 2021 with video demos, articles, code, and paper reference.
225. Coronavirus: A Reason for Hope?
Hope is a precious commodity.
226. Summarizing Most Popular Text-to-Image Synthesis Methods With Python
Comparative Study of Different Adversarial Text to Image Methods
227. Features Selection by Using Xverse Package
Learn how to apply a variety of techniques to select features with Xverse package.
228. GANverse3D Turns a Single Image Into 3D Objects
This promising model called GANverse3D only needs a single image to create a 3D figure that can be customized and animated!
229. This AI Removes Unwanted Objects From Your Images!
Learn how this algorithm can understand images and automatically remove the undesired object or person and save your future Instagram post!
230. Why It’s Very Difficult to Create AI-Based Slow Motion
Over the last few years a number of open source machine learning
projects have emerged that are capable of raising the frame rate of
source video to 60 frames per second and beyond, producing a smoothed,
'hyper-real' look.
231. What are Latent Diffusion Models? The Architecture Behind Stable Diffusion
What do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion.
232. Procesando Datos Para Deep Learning: Datasets, visualizaciones y DataLoaders en PyTorch
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233. Machine Learning is the Wrong Way to Extract Data From Most Documents
The best way to turn the majority of documents into structured data is to use a next generation of powerful, flexible templates that find data in a document
234. How I Let an AI Code a Game For Me!
What if I would ask an artificial intelligence to writa game for me? Is it hard? Will it work? I'm using Github Copilot to try it out.
235. The Programming Language For Machine Learning Projects
…and why Python is the de facto in ML
Python is the de facto programming language used is machine learning. This is owed to it’s simplicity and readability, which allows users to focus on the algorithms and results, rather than wasting time on structuring code efficiently and keeping it manageable.
236. Artificial Intelligence: The Future Of Travel Industry
Machines may not have taken over the world yet, but they are seeping into our lives and making it better. AI is changing every aspect of our lives. From self-driving cars to talking bots, there are so many examples of AI in use today. The technology is disrupting so many industries, and the travel industry isn’t exempt from this. Gone are the days when you had to count on a travel agent to plan your next vacation. You no longer need to engage yourself in that tiresome chain of conversations with your agent for your travel arrangements. AI now infiltrates every aspect of the travel industry. With the help of this technology, you can get personalized and intelligent travel solution tailored according to your needs.
237. Implementation of Mobile Robots for an Autonomous Scalable Smart Factory
Autonomous mobile robots for assembly factories as a databus for computers. Creating advanced eco-system using modular architecture and AI-driven factory OS
238. Crowdsourcing Data Labeling for Machine Learning Projects [A How-To Guide]
239. Real-World Applications of AI in Design
AI is quickly becoming mainstream in many industries, including graphic design. The technology is making the designers giddy with excitement because AI can make the designing process so much faster and easier but — it’s also scary at the same time because we’ve seen what AI systems are capable of.
240. How to Use Machine Learning to Color Your Lighting Based on Music Mood
How to use machine learning to color your room lighting, based on the emotions behind the music you are listening (Python code available here)
241. Busting AI Myths: "You Need Tons of Data for Machine Learning"
Leading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:
242. Build A Twitter Bot With Zero Code That Gets You Followers
243. The Coming Age of Killer Machines
The most terrifying film of the year didn’t come from Hollywood.
244. Take ChatGPT With You: Introducing Ariana, the ChatGPT Assistant That Lives in WhatsApp
Meet Ariana, a ChatGPT AI assistant living in WhatsApp, providing instant answers, translations, and idea generation.
245. Can You Use ChatGPT to Save Time Doing Day-to-day Product Management Tasks?
Product managers, especially in startups, have to deal with a ton of different tasks on a daily basis. Could some of those tasks be made easier with ChatGPT?
246. A Roadmap For Becoming a Data Scientist
So you want to become a data scientist? You have heard so much about data science and want to know what all the hype is about? Well, you have come to the perfect place. The field of data science has evolved significantly in the past decade. Today there are multiple ways to jump into the field and become a data scientist. Not all of them need you to have a fancy degree either. So let’s get started!
247. Artificial Intelligence in Beauty & Cosmetics Industry
The beauty industry was valued at $532.43 billion USD in 2017, and it’s following a rapid upward trajectory. According to the same report, the estimated worth is expected to reach $805.61 billion USD by 2023. You get the idea how huge this industry is. And it has witnessed a revolutionary change over the past few years.
248. 10 Ways AI Has Changed Our Lives
The human race has come a long way in history. The recent technological advancements contribute to this progress, making lives easier for everyone. Robots, supercomputers and interactive applications are no longer science-fiction tropes. Data scientists and machine learning engineers are working on realistic machines with human-like intelligence. Artificial intelligence is an integral part of our everyday life. From our smartphones to the GPS navigation in our cars- life without AI seems impossible. Here are some ways that AI impacts our life;
249. Introducing CatalyzeX: A Browser Extension for Machine Learning
Andrew Ng likes it, you probably will too!
250. Traded $1m CAD in 5 hours: Porting a Bot to Binance Futures Market Making Competition
Introduction
251. A Quick Introduction to Machine Learning with Dagster
This article is a quick introduction to Dagster using a small ML project. It is beginner friendly but might also suit more advanced programmers if they dont know Dagster.
252. I Tried Facebook's New AI Chatbot... It's So Good, It's Scary.
Me: I don't know much about football. What's your favorite football team? Bot: My favorite team is the seattle seahawks. Do you have any kids? I've got two daughters.
Me: I have a son, Timmy, he's 14. How old are your daughters? Bot: They're 7 and 8 . What do you like to do for fun? I love cooking.
Me: I like MMA and cooking as well. What recipes do you like? Bot: I love to cook french food. I also like to shop. ... Me: What's a good place to buy clothes? Bot: ebay is a great place to start. It's free and you get to spend a lot of money.
Me: Haha so you like spending money? Bot: Yes, I love spending money. It makes me feel good to be able to spend my money.
253. 22 AI Tools You Should Know About
List of top trending AI tools
254. A Framework on How to Find your Co-Founder
Roughly three and a half years ago, we started working on Tara AI, however the genesis of the story begins much earlier. It all began when I had the good fortune of meeting Syed Ahmed in freshman year of college, our company’s current co-founder and CTO. Everyday, I continue to meet with founders and hopeful entrepreneurs that are starting companies with enormous potential, and I find that the first hurdle they have to cross, is finding a partner-in-crime. I truly believe that going about building a company is an arduous journey, and its nearly impossible to build a lasting high-growth company without a co-founder (kudos to those who have achieved this as single founders). I’ve also come to realize, that if you can convince another human being to invest all of their time and energy in building this “thing” that doesn’t currently exist, then other obstacles start to become easier (even if it’s by a factor of 0.0001%).
255. And Then We Were Cyborgs
“How did you go bankrupt?” “Two ways. Gradually, then suddenly.”
256. Kanye West Donda Stem Player? How About LALAL.AI Instead
Donda Stem Player, LALAL.AI, Audioshake, Spleeter and more - how AI stem separation technology makes us creators.
257. NVIDIA GTC 2023: The Future of Generative AI is Here
NVIDIA’s GTC 2023 offers more than 650 special events, sessions, and expert panels across technologies, industries, and skill levels.
258. The Future of Work: How Machines Will Replace Humans
Fear is not new but seems more real than ever. Will robots put men out of work or become their allies? Who will be most affected? How can they best prepare for the job market of the future? No one has the definitive answers to these questions yet, but what is known is that in a matter of a few decades we will witness a profound transformation of the production of goods and services that will fully impact workers and economies around the planet.Work is being replaced by machines, robots or algorithms, which do something more efficiently and do not create anything new, they simply replace the basic unit of work".
259. Confusion Matrix in Machine Learning: Everything You Need to Know
Confusion Matrix is a tabular representation of an ML classifier's performance. You can compute accuracy, precision, and recall from the confusion matrix.
260. Top 5 Machine Learning Programming Languages in 2021
Python, R, Lisp, Prolog, and Java are the best machine learning programming languages to learn in 2021.
261. Five Successful AI and ML Use Cases In Manufacturing
How can manufacturers put artificial intelligence to work in the industry? In this article, you will find five possible applications of Machine learning and Deep learning to industrial processes optimization.
262. A Comprehensive Primer on Artificial Intelligence: Potential and Risks of Robots
263. Bayesian Brain: Is Your Brain a Data Scientist?
Is your Brain a Data Scientist? Yes, according to the Bayesian Brain Hypothesis, your brain is a Bayesian statistician. Let me explain.
264. No-Code Machine Learning inside Google Sheets
Introduction
265. The AI Infrastructure Alliance and the Evolution of the Canonical Stack for Machine Learning
We've got a Cambrian explosion of new companies building a massive array of software to democratize AI for the rest of us. We created the AI Infrastructure All.
266. Train a NER Transformer Model with Just a Few Lines of Code via spaCy 3
Transformer models have become by far the state of the art in NLP technology, with applications ranging from NER, Text Classification, and Question Answering
267. Ten Trending Applications of Artificial Intelligence
In 2018, we all experienced a dramatic emergence of the tools, platforms and applications based on Artificial Intelligence and Machine Learning. These technology tools not only transformed the internet and software industry, but it also had a massive impact on a wide range of verticals, including manufacturing, health, agriculture and automobile.
268. 8 Ways Artificial Intelligence Takes Publishing to the Next Level
Publishers are the gatekeepers of modern literature. As technology advances, both traditional publishing houses and self-publishing authors benefit from technology-enabled tools and analytics which were previously not available.
269. 17 Open Crime Datasets for Data Science and Machine Learning Projects
For those looking to analyze crime rates or trends over a specific area or time period, we have compiled a list of the 16 best crime datasets made available for public use.
270. Time Series Forecasting with TensorFlow.js
Pull stock prices from online API and perform predictions using Recurrent Neural Network & Long Short Term Memory (LSTM) with TensorFlow.js framework
271. Influencing Special Education with Wearable Intelligence
272. How AI and Machine Learning is Impacting the Real Estate by Roy Dekel
Artificial intelligence has become the breakout technology in the past ten years, utilizing huge amounts of computing power to learn and identify patterns in data without the guidance of humans. These algorithms can be used on nearly any problem or question, provided there is enough input data for the algorithm to process to generate realistic results. This broad generalizability means that industries that have traditionally relied on purely human-driven research and development can now harness massive amounts of data to become more efficient – and potentially more profitable.
273. How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech
In the past ten years, the world of recruitment and Human Resource has changed a lot. Shaped by several different and mostly technological factors, the HR department has drastically transformed from sorting resume papers manually to imbibing technology in the recruitment process.
274. Top 8 AI-Powered Tools To Help Startups Grow: Crafting Real Experiences with Artificial Intelligence
275. Artificial Intelligence, Machine Learning, and Human Beings
In a conversation with HackerNoon CEO, David Smooke, he identified artificial intelligence as an area of technology in which he anticipates vast growth. He pointed out, somewhat cheekily, that it seems like AI could be further along in figuring out how to alleviate some of our most basic electronic tasks—coordinating and scheduling meetings, for instance. This got me reflecting on the state of artificial intelligence. And mostly why my targeted ads suck so much...
276. How to Build a Multi-label NLP Classifier from Scratch
Attacking Toxic Comments Kaggle Competition Using Fast.ai
277. 10 AI and ML Apps, Games, and Tools for Android Phones
If you’re looking for basic knowledge about AI concepts, AI tutorials, or want to check out some interesting AI-powered games and tools, we’ve compiled a list of the best free Android apps for AI and machine learning. We’ve divided the list into the following four categories: chatbots, educational, games, and tools & services. From NLP to object recognition, numerous apps on this list apply a variety of machine learning processes.
278. Increase The Size of Your Datasets Through Data Augmentation
Access to training data is one of the largest blockers for many machine learning projects. Luckily, for various different projects, we can use data augmentation to increase the size of our training data many times over.
279. How to Classify Animal Images via a Convolutional Neural Network
Identifying patterns and extracting features on images using deep learning models
280. Gain State-Of-The-Art Results on Tabular Data with Deep Learning & Embedding Layers [A How To Guide]
Tree-based models like Random Forest and XGBoost have become very popular in solving tabular(structured) data problems and gained a lot of tractions in Kaggle competitions lately. It has its very deserving reasons. However, in this article, I want to introduce a different approach from fast.ai’s Tabular module leveraging.
281. The Best Slack Groups for Data Scientists to Join
The online data science community is supportive and collaborative. One of the ways you can join the community is to find machine learning and AI Slack groups.
282. Future of SaaS: What To Expect in Coming Years
With more and more integration of Cloud services, SaaS models continue to operate as the most popular service-based approach.
283. You’ve Never Heard Of These Sites, But They Know A Lot About You
A Marriage And A Funeral
284. How 5G Is Changing E-Commerce for a More Vivid Buyer Experience
Fifth generation (5G) wireless technology connects many modern devices, from smart appliances to smartphones, to the internet. The technology is currently available to some mobile users in various countries, such as the United States, China and Turkey, with more countries adopting at a rapid rate.
285. Data Set and Data Augmentation for Face Detection and Recognition
When it comes to building an Artificially Intelligent (AI) application, your approach must be data first, not application first.
286. My Advice As an Ex-Tech Recruiter to Self-Taught Programmers
As a former tech recruiter for some of the hottest tech startups in the Bay Area and NYC, I’ve seen first-hand what companies look for in candidates for software engineering, machine learning, data science, tech management, directorship and the like.
287. Revolution of AI in 2020! Is It Real?
Well, if you like reading technology news, you may have come across various facts and stats about the revolutionizing technology: Artificial Intelligence.
288. This AI Creates Realistic Animated Looping Videos from Static Images
This model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop!
289. AI and The Consciousness Gap
AI means a lot of things to a lot of people. Usually what it means is not very well thought out. It is felt, it is intuited. It is either adored, worshipped or deemed blasphemous, profane, to be feared.
290. An Introduction to “Liquid” Neural Networks
Liquid neural networks are capable of adapting their underlying behavior during the training phase.
291. Top 10 Principles of A.I Prediction
How to rise above the A.I noise
292. DreamFusion: An AI that Generates 3D Models from Text
Here’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it.
293. How to Build Your Own PyTorch Neural Network Layer from Scratch
This is actually an assignment from Jeremy Howard’s fast.ai course, lesson 5. I’ve showcased how easy it is to build a Convolutional Neural Networks from scratch using PyTorch. Today, let’s try to delve down even deeper and see if we could write our own nn.Linear module. Why waste your time writing your own PyTorch module while it’s already been written by the devs over at Facebook?
294. How to Perform MNIST Digit Recognition with a Multi-layer Neural Network
Human Visual System is a marvel of the world. People can readily recognise digits. But it is not as simple as it looks like. The human brain has a million neurons and billions of connections between them, which makes this exceptionally complex task of image processing easier. People can effortlessly recognize digits.
295. What Does Blockchain & The Fourth Industrial Revolution Mean for Us?
The magic wand of blockchain technology has touched our lives in multiple ways over the last decade. It has made cryptocurrency traders out of ordinary investors who would even shy away from the traditional stock
markets. It has provided us with an easy way of transferring money across borders, without the interference of banks.
296. How I got a Job at Facebook as a Machine Learning Engineer
It was August last year and I was in the process of giving interviews. By that point in time, I was already interviewing for Google India and Amazon India for Machine Learning and Data Science roles respectively. And then my senior advised me to apply for a role in Facebook London.
297. Manipulación de tensores en PyTorch. ¡El primer paso para el deep learning!
*Nota: Contactar a Omar Espejel (omar@tsc.ai) para cualquier observación. Cualquier error es responsabilidad del autor.
298. Visual Generative Modeling: Using GANsformers to Generate Scenes
They basically leverage transformers’ attention mechanism in the powerful StyleGAN2 architecture to make it even more powerful!
299. Ten Future Technologies That Aren't in the Public Eye (Yet)
CRISPR, Quantum, Graphene, Smart Dust, Digital Twins, the Metaverse… You’ve heard about it all. Seen it all. Read it all. Or have you?
300. Can Graph Neural Networks Solve Real-World Problems?
In this article, we will learn about GNNs and its structure as well as its applications
301. OpenAI's New Code Generator: GitHub Copilot (and Codex)
You’ve probably heard of the recent Copilot tool by GitHub, which generates code for you. Find out how OpenAI's AI generates code from words
302. This AI Performs Seamless Video Manipulation Without Deep Learning or Datasets
New research by Niv Haim et al. allows us to perform infinite video manipulations without using deep learning or datasets.
303. Building an AI Red Team to Stop Problems Before They Start
An incredible 87% of data science projects never go live.
304. Introducing Total Relighting by Google
In a new paper titled Total Relighting, a research team at Google presents a novel per-pixel lighting representation in a deep learning framework.
305. How I Designed My Own Machine Learning and Artificial Intelligence Degree
After noticing my programming courses in college were outdated, I began this year by dropping out of college to teach myself machine learning and artificial intelligence using online resources. With no experience in tech, no previous degrees, here is the degree I designed in Machine Learning and Artificial Intelligence from beginning to end to get me to my goal — to become a well-rounded machine learning and AI engineer.
306. Top 20 AI & Machine Learning Companies In USA & India 2019 Edition
Need to find the best Artificial Intelligence/Machine Learning companies in India?
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