Let's learn about Data Collection via these 50 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology.
Data collection is the process of gathering and measuring information from various sources to answer research questions or make informed decisions. It is fundamental for analytics, machine learning, and business intelligence, driving insights that power modern digital economies and scientific advancements.
1. Android Devices in Enterprise Mobility — Navigating Key Risks
Mobile phones have always been a staple of corporate communication. In the early days, companies would provide mobile devices to their employees.
2. How POST Requests with Python Make Web Scraping Easier
To scrape a website, it’s common to send GET requests, but it's useful to know how to send data. In this article, we'll see how to start with POST requests.
3. How Drones Are Transforming Big Data Analytics
The world is transforming right before our eyes. We’ve heard about drones for a long time now, especially with big companies like Amazon using them for more efficient package delivery, a major trend in modern e-commerce. Instead of your local delivery man, a drone may drop a package right on your doorstep. The true power of drones goes well beyond that, though. They provide businesses with data that’s difficult to collect otherwise. In addition to taking aerial photos and videos, drones can collect information about everything from the health of crops to thermal leaks in buildings.
4. Even Supermarkets Are Tracking Your Data Nowadays
You are handing over a valuable treasure trove of data that may not be limited to the items in your shopping cart.
5. How to Start with Web Scraping and Why You Don't Need to Code
Collecting data from the web can be the core of data science. In this article, we'll see how to start with scraping with or without having to write code.
6. Writing a Scraping Bot with Python and Selenium
Learning how to use Selenium and Python to interact with websites to get the data you need.
7. Use Amazon Personalize & Data in the Raw for Real-Time Recommendations:
Start capturing website user data in 5 minutes or less with no developer resources or coding experience needed.
8. Getting High-Frequency Tennis Motion Data from Apple Watch [Part 1]
Build a tennis motion data collection app for Apple Watch and iPhone using this step-by-step guide.
9. 4 Ways Startups Can Overcome Implementation Challenges of Machine Learning
Machine learning is the best method of data analysis. It also automates the creation of analytical business models. This is the reason why machine learning plays an important role in the growth of a business. Hence, your business will probably need new and highly inspired ideas to deploy machine learning solutions into your business. However, the implementation of machine learning can bring several challenges.
10. China's Information Warfare via LOGINK Continues Unabated: Here's How It's Done
The PRC has created LOGINK, a logistics-focused software, for the purposes of data collection in accordance with its information warfare efforts.
11. Get Your Postman Workspace Organized
Learn tricks for Postman that ease your Workspace organization!
12. Data Brokers and You: The Invisible Trade of Personal Information
Data brokers are companies or individuals that collect information from a variety of sources, such as public records, purchase histories, and social media.
13. What is Web Data Collection?
Everything you need to know to automate, optimize and streamline the data collection process in your organization!
14. Data and Its Color
I had the opportunity to speak with Bourgeois about her project, what she learned, and how others can use creative approaches to ask questions
15. Getting High-Frequency Tennis Motion Data from Apple Watch [Part 2]
Accruing real tennis motion data from Apple Watch and exploring insights, including acceleration, rotation, and more.
16. How Digital Twins Are Constructed Through 3D Scanning
Digital twins are among the most exciting technologies for businesses today. These “twins” are virtual representations of real-world objects, systems or processes that update in real-time as their physical counterparts change. Having these virtual models make it easier to notice potential issues or make informed decisions.
17. Identify Wechat's TxBugReport File on your PC Through These Simple Steps
In this post, we will learn easy steps to turn off the txbugreport.exe process running in your Computer and occupying more memory and prevent this .exe file from sending automated bug reports to Tencent Computer Systems.
18. Mastering AI Operations
The data whisperer is the function sitting between the business and the technologists.
19. This College Student Wanted Privacy - His College Couldn't Give Him Any
Whether living on campus or off, taking classes in person or remotely, students simply cannot opt out of most data collection and still pursue a degree.
20. The Ultimate Tutorial On How To Do Web Scraping
Mastering Web-Scraping like a boss. Data Extraction Tips & Insights, Use Cases, Challenges... Everything you need to know🔥
21. Data Collection for Product Managers
Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples.
22. In the future, your data is more valuable than gold
The value of your data is defined by the persona built about you, including who you are and all your preferences.
23. Synesis One Launches World's First AI Data Outsourcing App on Solana Mainnet
Synesis One announced today the launch of its new Train2Earn App ‘Workspace by Synesis' on IOS, Android, Saga and Web browsers.
24. How to Design API Analytics Data Collection for High Volume APIs
API Analytics are key for any platform company that wants to gain insights into their API and platform usage. These insights can be leveraged by product owners, growth teams, developer relations, and more to make more strategic decisions based on the raw health of your platform business rather than just gut feelings. However, many API platforms have a very high volume of API calls per day. This volume creates a set of unique challenges when designing an analytics system that scales without crippling their platform or having sticker shock when looking at their cloud vendor’s bill. This post goes into some of the inner workings of how we designs Moesif’s API analytics platform to handle companies with billions of API calls a day.
25. How to Analyze and Process Unstructured Data in 5 Simple Steps
In this article, we’ll look at how to analyze and process unstructured data while using business intelligence tools to simplify the entire process.
26. Effective Use of Big Data and Analytics for Business Ventures
Business data analytics is often a very complex and intensive process to execute. In the era of big data analytics where a large set of varied data needs to be analyzed in order to uncover insightful information, things become more complex. However, such a comprehensive data
analysis model will help uncover various hidden patterns, market shifts, and trends, unknown correlations, customer behavior, etc. Getting an actionable insight into these will help the organizational decision-makers to make well-informed decisions.
27. The Importance of Data in Machine Learning: Fueling the AI Revolution
In this blog, we’ll delve into the crucial role that data plays in machine learning and why it’s often said that in the world of AI, “data is king.”
28. The Truffle Pig's Guide to Source Discovery in OSINT
This article gives you methods and ideas on how to find sources for doing OSINT.
29. Behavioral Data Collection: How Gaming Might Help Study ADHD
With the development of more games specifically designed for this purpose, we expect to see a significant increase in the use of gaming as a tool...
30. A Gadget Lighter Than a Chicken Egg Is Changing Disaster Mapping in the Pacific
Tools like QGIS, QField, and QGIS Cloud, and hardware like the X5 Mobile PRO and Starlink Mini, are bridging technological gaps once deemed insurmountable.
31. The Art of Data Creation: Behind the Scenes of AI Training
Keymakr's Head of Project Management, Dennis Sorokin, shares insights into the importance, process, challenges, and real-world applications of Data Creation.
32. How Blockchain Can Democratize Data Collection And Why You Should Care
Blockchain technology democratizes data collection and gives individuals data sovereignty in the context of social media being able to collect so much of it.
33. Graphing How Many Times People Liked my Posts on Instagram
Visualising knowledge in a (somewhat) readable way, so you can flex on your friends and show your data collection skills.
34. Utilize Business Tech to Drive Effective Cash Flow Management
Cash flow is critical for business success — and a pain to manage. Here's how to use business tech to improve cash flow management practices.
35. Voices of Deception: Guide to Protecting Yourself from AI Voice Scams
A recent voice cloning scam in the U.S. raised cybersecurity concerns, as the unpredictable power of AI becomes evident.
36. What is Data Collection and What are The Most Important Events to Track
When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it.
37. How to Connect MongoDB(4.2.10) and MongoDB Compass Locally
What is MongoDB?
38. 3D Mapping Initialization: Using RGB-D Images and Camera Parameters
O3D-SIM creation starts with capturing posed RGB-D images and camera parameters.
39. The Ethics Behind Data Collection and Privacy [Infographic]
A look at the future of data collection and online privacy through cookieless tracking.
40. Challenges in Building a QAnon Authorship Corpus
This section highlights the challenges of building a reliable text corpus for QAnon authorship analysis due to deleted accounts and limited archival data.
41. Where Do I Find the Right Social Media Marketing Data?
As a marketer, you probably know that social media marketing is part art, part science.
42. Solving Challenges of Data Acquisition in Retail: Alpha Capture in Digital Commerce
In this part of the ‘Alpha Capture in Digital Commerce series’,we will explore the challenges of data acquisition in retail and discuss data science application
43. What Is Synthetic Data And How It Works
How to produce a well-labeled dataset using synthetic data for a machine learning project.
44. You Can Help Us Investigate Surveillance Marketing Using Facebook Data: Here's How
Surveillance marketers are changing how they track you online, and The Markup is joining forces with Consumer Reports to investigate. But we need your help.
45. "AI can enhance data collection, analysis, prediction, and evaluation processes"
In this report, we emphasize the importance and potential of integrating AI algorithms with scientometrics, webometrics, and bibliometrics, through numerous ex.
46. User Consent in Data Collection Matters for Privacy: Here's Why
The following blog discusses why user awareness and consent in data collection are important, how your data gets used, and how to safeguard yourself.
47. Tire Manufacturers Are Rolling Out Consolidated Data Management
In the tire manufacturing industry, conventional tools are no longer enough for handling the complexities of product data and can seriously damage your brand
48. Parsing as Response Validation: A New Necessity for Scraping?
Find out how parsing has moved upstream to support accurate data collection
49. Unboxing History: The Importance of Processing and Presenting Historical Archives
Many NGOs and archival projects excel in accumulating historical records but often neglect the equally important tasks of processing and presenting data.
50. The Challenges of Data Collection for Software Engineering Research
Discussing the challenges of obtaining real-world data and details the two case studies—the Repo Margining System and the Abrahamsson Case Study
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