Tractatus Logico-Philosophicus

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Building LLM Powered Applications: Create intelligent apps and agents with large language models

Handbook of Neural Computation (Computational Intelligence Library)

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Grokking Artificial Intelligence Algorithms: Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly illustrated guide including exercises and examples

Machine Learning Engineering