Kernel methods for machine learning with Math and Python : 100 exercises for building logic

• Material Type: 図書
• ISBN: 9789811904004 paperback; 9811904006
• Title: Kernel methods for machine learning with Math and Python : 100 exercises for building logic
• Author/Editor: Joe Suzuki
• Author Heading: 鈴木, 譲 スズキ, ジョウ ( 01171500 )Authorities
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2022]
• Publication Date (W3CDTF): 2022
• Extent: xii, 208 pages
• Other physical details: illustrations (some color)
• Size: 26 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Kernel functions; Machine learning--Mathematics; Python (Computer program language); SCIENCE / General.; Kernel functions.
• LCC: QA 353.K47
• DDC: 515/.9
• NDLC: M121
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: M121-D72
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 032423160; http://id.ndl.go.jp/bib/032423160
• OCLC No.: 1294286346; https://www.worldcat.org/oclc/1294286346
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Chapter 1: Positive Definite KernelsChapter 2: Hilbert SpacesChapter 3: Reproducing Kernel Hilbert Space...
• Summary, etc.: The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or ex...