Sparse Estimation with Math and Python: 100 Exercises for Building Logic

Sparse Estimation with Math and Python: 100 Exercises for Building Logic
Author: Joe Suzuki
Publisher Finelybook 出版社:Springer; 1st ed. 2021 edition (October 31, 2021)
Language 语言:English
pages 页数:256 pages
ISBN-10 书号:9811614377
ISBN-13 书号:9789811614378

Book Description
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 sparse estimation Author: considering math problems and building Python programs.

Each chapter introduces the notion of sparsity and provides procedures followed Author: mathematical derivations and source programs with examples of execution. To maximize readers’ insights into sparsity, mathematical proofs are presented for almost all propositions, and programs are described without depending on any packages. The book is carefully organized to provide the solutions to the exercises in each chapter so that readers can solve the total of 100 exercises Author: simply following the contents of each chapter.

This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning Author: data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis.

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