An Introduction to Statistical Learning with Applications in Python

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

Rigorous treatment of probability and statistics tailored for data science from NYU Courant Institute. Covers probability, estimation, hypothesis testing, linear regression, and PCA with R implementation.

Carlos Fernandez-Granda