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Principles of Machine Learning: The Three Perspectives

Principles of Machine Learning: The Three Perspectives

Principles of Machine Learning: The Three Perspectives
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Principles of Machine Learning: The Three Perspectives Hardback - 2024

by Wang, Wenmin

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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Details

  • Title Principles of Machine Learning: The Three Perspectives
  • Author Wang, Wenmin
  • Binding Hardback
  • Condition Used - Good
  • Pages 527
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2024-10-27
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 9819753325.G
  • ISBN 9789819753321 / 9819753325
  • Weight 2.12 lbs (0.96 kg)
  • Dimensions 9.21 x 6.14 x 1.25 in (23.39 x 15.60 x 3.18 cm)
  • Category Mathematics
  • Quantity available 1

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About the author

Wenmin Wang is a professor and program director in the School of Computer Science and Engineering within the Faculty of Innovation Engineering at Macau University of Science and Technology (MUST), China, from 2019. Previous to the MUST, he held the position of professor and executive vice dean/dean with the School of Electronic and Computer Engineering at Peking University (PKU). In PKU, he taught a course on Principles of Artificial Intelligence to graduate students. And in MUST, he has been teaching the two compulsory courses Machine Learning and Principles of Artificial Intelligence to graduate students.

This book was started to be written after his Chinese edition of Principles of Artificial Intelligence was published by Higher Education Press (China) in August 2019. In recognition of his accomplishments in the online open course "Principles of Artificial Intelligence," he was honored with the "National Excellent Online Open Course" Award by the Chinese Ministry of Education in 2018. Additionally, he was bestowed with the "Teaching Excellence Award" by PKU, in 2017. His journey into the field of artificial intelligence during his doctoral studies, culminated in his PhD thesis entitled A Member System Model Supporting AI Problem Solving. Then he received a PhD degree in computer science from Harbin Institute of Technology (HIT), China, in March 1989.

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