Principles of Machine Learning

Language: English

Published by Springer Okt 2025, 2025

981975335X / 9789819753352

  • Softcover
  • New
See all details

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

5-star seller

AbeBooks seller since January 11, 2012

Softcover

Condition: New

US$ 61.80

US$ 25.80 shipping 
Ships from Germany to U.S.A.

Quantity: 2 available

Add to basket
Free 30-day returns

Item description from seller

This item is printed on demand - it takes 3-4 days longer - Neuware -Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the problematic perspective. Throughout the book, a systematic explication of machine learning principles from these three perspectives is provided, interspersed with some examples.The book is structured into four parts, encompassing a total of fifteen chapters. The inaugural part, titled 'Perspectives,' comprises two chapters: an introductory exposition and an exploration of the conceptual foundations. The second part, 'Frameworks': subdivided into five chapters, each dedicated to the discussion of five seminal frameworks: probability, statistics, connectionism, symbolism, and behaviorism. Continuing further, the third part, 'Paradigms,' encompasses four chapters that explain the three paradigms of supervised learning, unsupervised learning, and reinforcement learning, and narrating several quasi-paradigms emerged in machine learning. Finally, the fourth part, 'Tasks': comprises four chapters, delving into the prevalent learning tasks of classification, regression, clustering, and dimensionality reduction.This book provides a multi-dimensional and systematic interpretation of machine learning, rendering it suitable as a textbook reference for senior undergraduates or graduate students pursuing studies in artificial intelligence, machine learning, data science, computer science, and related disciplines. Additionally, it serves as a valuable reference for those engaged in scientific research and technical endeavors within the realm of machine learning.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. 564 pp. Englisch. …

Seller Inventory # 9789819753352

Title
Principles of Machine Learning
Author
Wenmin Wang
Publisher
Springer Okt 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
981975335X
ISBN 13
9789819753352
Item weight
844 grams
Dimensions
235x155x31 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 25.80US$ 25.80
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

  • Visa
  • Mastercard
  • American Express
  • Apple Pay
  • Google Pay
  • Bank Wire Transfer
  • Check
  • Paypal

Seller's business information

BuchWeltWeit Ludwig Meier e.K.

Germany