glitsyn
Glitsyn

Data Analysis

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making
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Interpretable Machine Learning

Supervised Machine Learning for Science: How to stop worrying and love your black box
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
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Elements of Information Theor 2nd (second) edition Text Only

Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information
Advances in Info-Metrics: Information and Information Processing across Disciplines
Regression and Other Stories
Bayesian Data Analysis
A First Course in Causal Inference
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Causality

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science
New Foundations for Information Theory: Logical Entropy and Shannon Entropy
Probability Theory: The Logic of Science
The Simple and Infinite Joy of Mathematical Statistics
Modeling Mindsets: The Many Cultures Of Learning From Data