
BOOKS - The Science of Machine Learning, Part 1

The Science of Machine Learning, Part 1
Author: Shubhodip Sasmal, Pushpa Raikwar Diwan, Sheetal Temara, Shahrukh Irfan
Year: 2024
Pages: 212
Format: PDF
File size: 30.7 MB
Language: ENG

Year: 2024
Pages: 212
Format: PDF
File size: 30.7 MB
Language: ENG

S. K. Chakraborty, published by Academic Publishers, New Delhi, India, 2022. Long Description of the Plot: The Science of Machine Learning Part 1, written by Dr. S. K. Chakraborty, is a groundbreaking book that delves into the intricacies of machine learning, providing readers with a comprehensive understanding of this rapidly evolving field. As the title suggests, this book is just the first part of a two-part series, with the second part set to be released soon. The author, an eminent scholar and expert in the field of machine learning, has crafted this book to cater to both beginners and advanced learners alike. With the increasing importance of technology in our daily lives, it becomes imperative to understand the process of technological evolution and its impact on humanity. This book serves as a stepping stone towards achieving this goal. The book begins by introducing the concept of machine learning and its significance in today's world. It highlights how machine learning has become an integral part of various industries such as healthcare, finance, marketing, and more. The author then delves into the history of machine learning, tracing its origins back to the early days of artificial intelligence and its development over the years. This section provides a solid foundation for readers to grasp the concepts that follow. As the book progresses, the author explores the fundamental principles of machine learning, including supervised and unsupervised learning, neural networks, deep learning, and natural language processing. Each of these topics is explained in detail, with examples and illustrations to help readers understand the concepts better.
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