Probability and Statistics for Data Science: Math + R + Data

Gold-standard introduction to statistical learning covering regression, classification, resampling, regularization, tree-based methods, SVMs, deep learning, and unsupervised learning with Python labs.

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor

Comprehensive textbook bridging statistics and machine learning for data science. Covers probability, statistics, Monte Carlo methods, regression, classification, deep learning, and unsupervised learning.

Dirk P. Kroese