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Fundamentals of Machine Learning and Artificial Intelligence
This book aims to provide a broad Fundamentals of Machine Learning and Artificial Intelligence for the importance of Machine Learning and Artificial Intelligence is well known in various engineering fields. It provides a logical method of explaining various complicated concepts and stepwise methods to explain important topics. Each chapter is well supported with the necessary illustrations. All the chapters in the book are arranged in a proper sequence that permits each topic to build upon earlier studies. Artificial Intelligence an important research area. The techniques developed in this area so far require to be summarized appropriately. In this book, the fundamental theories of these techniques are introduced.
The brief content of this book is as follows -
Unit – 1: Introduction to Machine Learning (ML)
Unit – 2: Supervised and Unsupervised Learning
Unit – 3: Ensemble and Probabilistic Learning
Unit – 4: Reinforcement Learning and Evaluating Hypothesis
Unit – 5: Genetic Algorithms
Unit – 6: Introduction to AI & Intelligent Agents
Unit – 7: Solving Problems by Searching
Unit – 8: Reinforcement Learning & Natural Language Processing
Unit – 9: Natural Language Processing for Communication
Unit -10: Robotics
This book is original in style and method and no pains have been spared to make it as compact, perfect, and reliable as possible. Every attempt has been made to make the book a unique one.
In particular, this book can be found very useful for practitioners and engineers who are interested in this area. Hopefully, the chapters presented in this book have just done that.
The brief content of this book is as follows -
Unit – 1: Introduction to Machine Learning (ML)
Unit – 2: Supervised and Unsupervised Learning
Unit – 3: Ensemble and Probabilistic Learning
Unit – 4: Reinforcement Learning and Evaluating Hypothesis
Unit – 5: Genetic Algorithms
Unit – 6: Introduction to AI & Intelligent Agents
Unit – 7: Solving Problems by Searching
Unit – 8: Reinforcement Learning & Natural Language Processing
Unit – 9: Natural Language Processing for Communication
Unit -10: Robotics
This book is original in style and method and no pains have been spared to make it as compact, perfect, and reliable as possible. Every attempt has been made to make the book a unique one.
In particular, this book can be found very useful for practitioners and engineers who are interested in this area. Hopefully, the chapters presented in this book have just done that.
388 pages, Kindle Edition
Published April 29, 2025
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