Sparse estimation with math and Python : 100 exercises for building logic

• Material Type: 図書
• ISBN: 9789811614378; 9811614377; 9789811614385 (electronic bk.); 9811614385 (electronic bk.)
• Title: Sparse estimation 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: [2021]; 著作権日付 : ©2021
• Publication Date (W3CDTF): 2021
• Extent: x, 246 pages
• Other physical details: illustrations (chiefly color)
• Size: 24 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Multivariate analysis; Estimation theory; Python (Computer program language); Multivariate Analysis; Analyse multivariée; Théorie de l'estimation; Python (Langage de programmation); Estimation theory.; Multivariate analysis.
• LCC: QA278
• DDC: 519.5/35
• NDLC: MA211
• 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.: MA211-D37
• Related Material (DOI): 10.1007/978-981-16-1438-5
• 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): 031630990; http://id.ndl.go.jp/bib/031630990
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Chapter 1: Linear RegressionChapter 2: Generalized Linear RegressionChapter 3: Group Lasso...
• Summary, etc.: The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. ...