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Product Details 基本信息 ISBN-13 书号 9789811578762 Author 作者 Suzuki Format 版本 平装-胶订 Pages Number 页数 null页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-04-06 Language 语种 其它(含多语) Book Contents 内容简介 The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines,
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Product Details 基本信息 ISBN-13 书号 9789811575679 Author 作者 Suzuki Format 版本 平装-胶订 Pages Number 页数 204页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2020-12-19 Language 语种 英语 Book Contents 内容简介 The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised lea
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