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Machine Learning Foundations

Supervised, Unsupervised, and Advanced Learning

Authors: Jo, Taeho

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  • Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning
  • Outlines the computation paradigm for solving classification, regression, and clustering
  • Features essential techniques for building the a new generation of machine learning
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書籍の購入

イーブック ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-65900-4
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥21,449
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-65899-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
この書籍について

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.

  • Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning;
  • Outlines the computation paradigm for solving classification, regression, and clustering;
  • Features essential techniques for building the a new generation of machine learning.

著者について

Taeho Jo is the president and the founder of the company, Alpha Lab AI which makes business concerned with Artificial Intelligence. He received his Bachelor, Master, and PhD degrees from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006, respectively. He has published more than 180 research papers, primarily in text mining, machine learning, neural networks, and information retrieval. He previously published the book “Text Mining: Concept, Implementation, and Big Data Challenge” (Springer 2018).

Table of contents (16 chapters)

Table of contents (16 chapters)

書籍の購入

イーブック ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-65900-4
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥21,449
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-65899-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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書誌情報

Bibliographic Information
Book Title
Machine Learning Foundations
Book Subtitle
Supervised, Unsupervised, and Advanced Learning
Authors
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
イーブック ISBN
978-3-030-65900-4
DOI
10.1007/978-3-030-65900-4
ハードカバー ISBN
978-3-030-65899-1
Edition Number
1
Number of Pages
XX, 391
Number of Illustrations
264 b/w illustrations, 13 illustrations in colour
Topics