Numerical Analysis for Statisticians (Statistics and Computing)

Pattern Recognition and Machine Learning (Information Science and Statistics)

Optimization (Springer Texts in Statistics)

Linear Algebra and Learning from Data

Categorical Data Analysis

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Deep Learning with Python