Generalized Additive Models (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Deep Learning (Adaptive Computation and Machine Learning series)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Generalized Additive Models: An Introduction with R (Chapman & Hall/CRC Texts in Statistical Science)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Advanced R (Chapman & Hall/CRC The R Series)

Python Machine Learning

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)