正版新书
¥ 16.9 4.6折 ¥ 37 全新
仅1件
作者张军英 著
出版社西安电子科技大学出版社
出版时间2021-08
版次1
装帧平装
货号8.2.2
上书时间2024-10-22
This book provides a comprehensive foundation of machine learning. To answer the
questions of what to learn, how to learn, what to get from learning, and how to evaluate,
as well as what is meant by learning, the book focuses on the fundamental basics
of machine learning, its methodology, theory, algorithms, and evaluations, together
with some philosophical thinking on comparison between machine learning and human
learning for machinery intelligence.
The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2),
Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6),
Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble
learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and
Challenges (Chapter 12).
The book can be used as a textbook for college, undergraduate, graduate and PhD
students majored in computer science, automation, electronic engineering,
communication, ect. It can also be used as a reference for readers who are
interested in machine learning and hope to make contributions to the field.
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