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Machine Learning

Af: Zhi-Hua Zhou Engelsk Paperback

Machine Learning

Af: Zhi-Hua Zhou Engelsk Paperback
Tjek vores konkurrenters priser

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some  advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest.

The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.

Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some  advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest.

The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.

Produktdetaljer
Sprog: Engelsk
Sider: 459
ISBN-13: 9789811519697
Indbinding: Paperback
Udgave:
ISBN-10: 9811519692
Udg. Dato: 22 aug 2022
Længde: 30mm
Bredde: 246mm
Højde: 170mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 22 aug 2022
Forfatter(e): Zhi-Hua Zhou
Forfatter(e) Zhi-Hua Zhou


Kategori Matematik til informatikfag


ISBN-13 9789811519697


Sprog Engelsk


Indbinding Paperback


Sider 459


Udgave


Længde 30mm


Bredde 246mm


Højde 170mm


Udg. Dato 22 aug 2022


Oplagsdato 22 aug 2022


Forlag Springer Verlag, Singapore

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