AI Algorithms: A Comprehensive Guide to Machine Learning Models and Techniques

This book provides a comprehensive overview of key algorithms and models in artificial intelligence and machine learning. Covering a wide range of topics from classic methods like Linear Regression and Decision Trees to advanced deep learning architectures such as BERT, GANs, and GPT-3, it serves as a reference for practitioners and enthusiasts. Each algorithm is explained with its taxonomy, main domain, data types, learning paradigm, and explainability aspects, making complex concepts accessible. The book also includes practical code examples generated with the assistance of ChatGPT, bridging theory and application. Whether you are a student, researcher, or professional, this guide offers valuable insights into the fundamental building blocks of modern AI systems.