Catastrophe Modeling: A New Approach to Managing Risk (Huebner International Series on Risk, Insurance and Economic Security, 25)

Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Practical Machine Learning in R

Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Machine Learning Pocket Reference: Working with Structured Data in Python

Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

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

AI in Talent Development: Capitalize on the AI Revolution to Transform the Way You Work, Learn, and Live

Essential Discrete Mathematics for Computer Science