🤝 Quantifying Gain — A Data Scientist’s Intro To Information Theory — Part 5/5: Mutual Information
Author(s): Eyal Kazin PhD Originally published on Towards AI. Mutual Information made intuitive — with practical ML examples in Python. 🐍 This is the fifth and final article in our introductory series on quantifying information — a foundational framework for data scientists. …
🎲🎲 Quantifying Dependence — A Data Scientist’s Intro To Information Theory — Part 4/5: Mutual Information Fundamentals
Author(s): Eyal Kazin PhD Originally published on Towards AI. Gain an intuition into two-variable statistics as a prelude to understanding Mutual Information. Python code included. 🐍Generated using ChatGPT Mutual Information is the amount of “Aha!” you get about one thing by learning …
🚅 Information Theory for People in a Hurry
Author(s): Eyal Kazin PhD Originally published on Towards AI. A quick guide to Entropy, Cross-Entropy and KL Divergence. Python code provided. 🐍 This member-only story is on us. Upgrade to access all of Medium. Generated using Gemini Imagen 3 Considered the Magna …