Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

by Reza Rawassizadeh

Mastering AI, machine learning, and data science often means piecing together concepts scattered across countless resources—from statistics and visualizations to foundational models and large language models. This book, the result of eight years of effort, brings it all together in one accessible, engaging package. It clarifies artificial intelligence and data science, blending core mathematical principles with a clear, reader-friendly approach.

Unlike traditional textbooks that lean heavily on equations and mathematical formalization, the author starts with minimal prerequisites, layering deeper math as the reader progresses. Each concept, algorithm, or model is unpacked through clear, hands-on examples that build the reader's skills step by step. It strikes a balance between theoretical foundations and practical application, serving as both an academic reference and a practical guide. Furthermore, the book uses humor, casual language, and comics to make the challenging concepts and topics relatable and fun. Any resemblance between the jokes and real life is pure coincidence, and no offense is intended.

Table of Contents Part Introduction & Preliminary Requirements Chapter 1: Basic Concepts Chapter 2: Visualization Chapter 3: Probability and Statistics Part Unsupervised Learning Chapter 4: Clustering Chapter 5: Frequent Itemset, Sequence Mining and Information Retrieval Part Data Engineering Chapter 6: Feature Engineering Chapter 7: Dimensionality Reduction and Data Decomposition Part Supervised Learning Chapter 8: Regression Analysis Chapter 9: Classification Part Neural Network Chapter 10: Neural Networks and Deep Learning Chapter 11: Self-Supervised Deep Learning Chapter 12: Deep Learning Models and Applications (Text, Vision, and Audio) Part Reinforcement Learning Chapter 13: Reinforcement Learning Part Other Algorithms and Concepts Chapter 14: Making Lighter Neural Network and Machine Learning Models Chapter 15: Graph Mining Algorithms Chapter 16: Concepts and Challenges of Working with Data

1166 pages, Hardcover

Published March 15, 2025

Reviews

[Ehsan Javaheri · Rating 5 out of 5]

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models by Reza Rawassizadeh is an excellent educational textbook. It clearly explains complex topics in a simple, easy-to-understand way. The book covers essential concepts, algorithms, and models that form the basis of AI and machine learning, making it perfect for beginners. With its organized structure and straightforward language, it offers a solid foundation without overwhelming the reader. A great resource for anyone looking to explore these modern technologies.

[Alireza · Rating 5 out of 5]

Comprehensive book which covers the latest technologies and is easy to read. It helped me well to prepare myself for my job interviews and secure a good job. I recommend it.

[Hamidreza Keshavarz · Rating 5 out of 5]

I have started reading it. It is a comprehensive book on Artificial Intelligence, with understandable examples and catchy graphic!