Understanding machine learning : from theory to algorithms

出版社:Cambridge : Cambridge University Press, 2014.
ISBN:9781107057135
出版年:2014
作者:Shalev-Shwartz,Shai.
资源类型:图书
细分类型:西文文献
相关推荐

Algorithms in machine learning paradigms

  • 作者:Mandal,Jyotsna Kumar,
  • ISBN:9789811510403
  • 出版社:Singapore : Springer, 2020.
  • 出版年:2020

Machine learning algorithms for industrial applications

  • 作者:Das,Santosh Kumar,
  • ISBN:9783030506407
  • 出版社:Cham, Switzerland : Springer, 2021.
  • 出版年:2021

Mathematical analysis of machine learning algorithms

  • 作者:Zhang,Tong,
  • ISBN:9781009098380
  • 出版社:Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.
  • 出版年:2023

Machine learning : from theory to applications : cooperative research at Siemens and MIT

  • 作者:Hanson,S.J.
  • ISBN:0387564837
  • 出版社:Berlin ; New York : Springer-Verlag, c1993.
  • 出版年:1993

Machine learning : theory and applications

  • 作者:Govindaraju,Venu.
  • ISBN:9780444538598
  • 出版社:Amsterdam ; Boston : Elsevier/Academic Press, c2013.
  • 出版年:2013

Learning algorithms theory and applications

  • 作者:Lakshmivarahan,S.
  • ISBN:0387906401
  • 出版社:New York : Springer-Verlag, c1981.
  • 出版年:1981