The AI Model Handbook

Dive into the world of artificial intelligence and machine learning with this engaging and accessible book. Covering the most common models and techniques used in production, this book explains complex concepts in a non-technical way, making them accessible to anyone with an interest in AI.

From supervised and unsupervised learning to deep learning and natural language processing, this book covers a wide range of topics, including computer vision, generative adversarial networks, graph neural networks, recommender systems, and causal inference. With its engaging and informative content, this book is the perfect introduction to the exciting world of AI and machine learning.

Table of Contents

Preface: AI is the New PC

Chapter 1: Artificial Intelligence and Machine Learning

Chapter 2: Supervised Machine Learning Models

Chapter 3: Unsupervised Machine Learning Models

Chapter 4: Deep Learning Models

Chapter 5: Reinforcement Learning Models

Chapter 6: Natural Language Processing (NLP) Models

Chapter 7: Computer Vision Models

Chapter 8: Generative Adversarial Networks

Chapter 9: Graph Neural Networks

Chapter 10: Recommender Systems

Chapter 11: Causal Inference Models