Machine Learning Pocket Reference: Working with Structured Data in Python

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

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

Machine Learning For Absolute Beginners: A Plain English Introduction (Data Storytelling: Learn AI, Data Science & Python Books for Beginners)

Computability and Complexity

Practical Threat Intelligence and Data-Driven Threat Hunting: A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making

Ai Innovation in Medical Imaging Diagnostics (Advances in Medical Technologies and Clinical Practice, 1)

An Introduction to Information Theory (Dover Books on Mathematics)

Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)