A concise introduction to machine learning

著者

• Faul, A. C.

書誌事項

A concise introduction to machine learning

A.C. Faul

（Chapman & Hall/CRC machine learning & pattern recognition series）

CRC Press, c2020

• : pbk

注記

Includes bibliographical references and index

内容説明・目次

内容説明

The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.

目次

Introduction. Probability Theory. Sampling. Linear Classification. Non-Linear Classification. Dimensionality Reduction. Regression. Feature Learning.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB28788984
• ISBN:
  • 9780815384106
• LCCN: 2019015915
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton
• ページ数/冊数: xix, 314 p.
• 大きさ: 24 cm
• 分類:
  • LCC : Q325.5
  • DC23 : 006.3/1
• 件名:
  • LCSH : Machine learning -- Textbooks
• 親書誌ID:
  • BA89985201