PinnedInTowards AIbyEyal Kazin PhD·Mar 7, 2025🚅 Information Theory for People in a HurryA quick guide to Entropy, Cross-Entropy and KL Divergence. Python code provided. 🐍A response icon6A response icon6
PinnedInTDS ArchivebyEyal Kazin PhD·Feb 3, 2025🤷 Quantifying Uncertainty — A Data Scientist’s Intro To Information Theory — Part 2/5: EntropyGain intuition into Entropy and master its applications in Machine Learning and Data Analysis. Python code provided. 🐍A response icon6A response icon6
PinnedInTDS ArchivebyEyal Kazin PhD·Oct 24, 2024🚪🚪🐐 Lessons in Decision Making from the Monty Hall ProblemA journey into three intuitions: Common, Bayesian and CausalA response icon12A response icon12
PinnedInTDS ArchivebyEyal Kazin PhD·Sep 12, 2024➡️ Start Asking Your Data “Why?” - A Gentle Intro To CausalityBegin your causal journey with visual demonstrations and resources.A response icon4A response icon4
PinnedInTDS ArchivebyEyal Kazin PhD·Nov 28, 2024🧠🧹 Causality - Mental Hygiene for Data ScienceHarness The Power of Why with Causal Tools.A response icon2A response icon2
InTowards AIbyEyal Kazin PhD·Jul 13, 2025🤝 Quantifying Gain — A Data Scientist’s Intro To Information Theory — Part 5/5: Mutual InformationMutual Information made intuitive — with practical ML examples in Python. 🐍A response icon4A response icon4
InTowards AIbyEyal Kazin PhD·Apr 28, 2025🎲🎲 Quantifying Dependence — A Data Scientist’s Intro To Information Theory — Part 4/5Gain an intuition into two-variable statistics as a prelude to understanding Mutual Information. Python code included. 🐍A response icon1A response icon1
InData Science CollectivebyEyal Kazin PhD·Feb 24, 2025📏 Quantifying Misalignment — A Data Scientist’s Intro To Information Theory — Part 3/5Gain intuition into Cross-Entropy, KL-Divergence and their applications in Machine Learning and Data Analysis. Python code provided. 🐍A response icon1A response icon1
InTDS ArchivebyEyal Kazin PhD·Feb 3, 2025😲 Quantifying Surprise — A Data Scientist’s Intro To Information Theory — Part 1/5: FoundationsGain intuition into Information Theory and master its applications in Machine Learning and Data Analysis. Python code provided. 🐍A response icon2A response icon2
Eyal Kazin PhD·Oct 24, 2024Anatole, thanks for the kind words and for you question!Are you referring to causality or Simpson's Paradox?
