AI

Technology industry to combat deceptive use of AI in 2024 elections

20 leading technology companies including Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI, TikTok, and X pledge to work together to

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5 Bad Habits Killing Your Potential as a Data Engineer | by Madison Schott | Feb, 2024

And easy solutions that can immediately turn them around Photo by t Kaiser on Unsplash Every data engineer wants to

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Network Analysis Illustrated: Metrics to Spread Public Health Information | by Christabelle Pabalan | Feb, 2024

Network Analysis This article simplifies network metrics with visuals, focusing on public health as an example. DALLE Generated Image by

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Things You Can Do with Python: Advanced and Special Use Cases | by TDS Editors | Feb, 2024

Python is instrumental in so many data science and machine learning workflows that it can sometimes just blend into our

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Unlocking Insights: Building a Scorecard with Logistic Regression | by Vassily Morozov | Feb, 2024

After a credit card? An insurance policy? Ever wondered about the three-digit number that shapes these decisions? Introduction Scores are

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How to Improve AI Performance by Understanding Embedding Quality | by Eivind Kjosbakken | Feb, 2024

Learn how to ensure the quality of your embeddings, which can be essential for your machine-learning system. Creating quality embeddings

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The Dummy Models of Scikit-learn. Always keep a dummy by your side. | by Yoann Mocquin | Feb, 2024

If you like or want to learn machine learning with scikit-learn, check out my tutorial series on this amazing package:

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Generative AI Design Patterns: A Comprehensive Guide | by Vincent Koc | Feb, 2024

This design champions adaptability, featuring a modular AI system that can dynamically reconfigure itself for optimal task performance. It’s akin

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Text Embeddings: Comprehensive Guide | by Mariya Mansurova | Feb, 2024

As human beings, we can read and understand texts (at least some of them). Computers in opposite “think in numbers”,

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