Machine Learning in Data Processing by Xiang-Sheng Wang (.ePUB)+
File Size: 10.2 MB
Machine Learning in Data Processing (Forum for Interdisciplinary Mathematics) by Xiang-Sheng Wang, Chisheng Wang
Requirements: .ePUB, .PDF reader, 10.2 MB | True PDF, True EPUB
Overview: Machine Learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind Machine Learning is essential, even if they never work directly with real-world datasets. This book provides a rigorous yet accessible introduction to the core mathematical ideas that underpin Machine Learning. Topics such as linear and nonlinear regression, regularization techniques, and the fundamentals of neural networks are explained in detail from a clear mathematical perspective. Unlike many existing texts that emphasize coding and practical implementation, this book focuses on theoretical results and conceptual understanding. It is designed for readers who want to grasp the mathematics behind Machine Learning without writing code. Machine Learning is perceived in diverse ways across academic and professional communities, with each perspective influenced by disciplinary background and practical experience. Rooted in mathematics, statistics, Computer Science, Data Science, and numerical computation, the field has advanced rapidly in the era of Dig Data. Its broad impact on science, engineering, and everyday life has led many universities to actively integrate Machine Learning into both undergraduate and graduate curricula. This book consolidates fundamental mathematical derivations and theoretical results that are otherwise scattered throughout the Machine Learning literature. Unlike many existing texts that focus on large-scale real-world datasets, this book emphasizes simplified synthetic data to clearly illustrate core concepts and methods. While coding is optional, concise Python scripts are provided to allow students to experiment with examples and modify them for exercises. Python is chosen as the programming language because it is free, widely available, and easy to read. Although programming languages evolve over time, Python’s simplicity makes it particularly suitable for beginners.
Genre: Non-Fiction > Tech & Devices
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