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Machine Learning

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  • 472 pages
  • 17 hours of reading

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The textbook provides a thorough introduction to machine learning, a crucial domain within artificial intelligence. It is structured into three parts: the first covers fundamental concepts and linear models; the second delves into popular methods like decision trees and neural networks; and the third explores advanced topics such as feature selection and reinforcement learning. Each chapter is supplemented with exercises and suggested readings, encouraging readers to deepen their understanding of various machine learning techniques.

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Machine Learning, Zhi-Hua Zhou

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Released
2021
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(Hardcover)
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Title
Machine Learning
Language
English
Released
2021
Format
Hardcover
Pages
472
ISBN13
9789811519666
Series
Rating
4 out of 5
Description
The textbook provides a thorough introduction to machine learning, a crucial domain within artificial intelligence. It is structured into three parts: the first covers fundamental concepts and linear models; the second delves into popular methods like decision trees and neural networks; and the third explores advanced topics such as feature selection and reinforcement learning. Each chapter is supplemented with exercises and suggested readings, encouraging readers to deepen their understanding of various machine learning techniques.