The AI Model Handbook

Description

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
Conclusion