Markov Logic: An Interface Layer for Artificial Intelligence

Machine Learning Algorithms: Handbook: A step-by-step guide to all Machine Learning algorithms with implementation using Python!

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, & Emerged Triumphant from Two Centuries of C

HBR Guide to AI Basics for Managers

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

The Signal and the Noise: The Art and Science of Prediction

A Thousand Brains: A New Theory of Intelligence

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Probabilistic Machine Learning: An Introduction

Bayesian Modeling and Computation in Python

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

Machine Learning

Think Python: Edition 3

Statistical Theory: A Concise Introduction, Edition 2