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Book Cover for: Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models, Reza Rawassizadeh

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

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.

Book Details

  • Publisher: Reza Rawassizadeh
  • Publish Date: Mar 15th, 2025
  • Pages: 1168
  • Language: English
  • Edition: undefined - undefined
  • Dimensions: 11.00in - 8.50in - 2.28in - 5.82lb
  • EAN: 9798992162110
  • Categories: Artificial Intelligence - Generative AIData Science - Neural Networks

About the Author

Rawassizadeh, Reza: - Reza Rawassizadeh is a professor of Computer Science at Boston University with over a decade of experience in academic research and industrial projects. His scholarly contributions span digital health, ubiquitous technologies, resource-efficient computing, and on-device AI/machine learning. His research emphasizes developing efficient machine learning and AI models tailored for affordable hardware platforms, advancing the democratization of AI.