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Sparse Estimation with Math and R: 100 Exercises for Building Logic (English Edition) Kindle版
Each chapter introduces the notion of sparsity and provides procedures followed by 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 by 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 perfectmaterial for independent learning by 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.
This book is one of a series of textbooks in machine learning by the same author. Other titles are:
- Statistical Learning with Math and R (https://www.springer.com/gp/book/9789811575679)
- Statistical Learning with Math and Python (https://www.springer.com/gp/book/9789811578762)
- Sparse Estimation with Math and Python
- 言語英語
- 出版社Springer
- 発売日2021/8/4
- ファイルサイズ103581 KB
商品の説明
著者について
He is the author of a series of textbooks on machine learning- Statistical Learning with Math and R (https://www.springer.com/gp/book/9789811575679)- Statistical Learning with Math and Python (https://www.springer.com/gp/book/9789811578762)- Sparse Estimation with Math and R (This book)- Sparse Estimation with Math and Python
登録情報
- ASIN : B09BZ3D7JH
- 出版社 : Springer (2021/8/4)
- 発売日 : 2021/8/4
- 言語 : 英語
- ファイルサイズ : 103581 KB
- Text-to-Speech(テキスト読み上げ機能) : 有効
- X-Ray : 有効にされていません
- Word Wise : 有効にされていません
- 付箋メモ : Kindle Scribeで
- 本の長さ : 1048ページ
- Amazon 売れ筋ランキング: - 431,133位洋書 (洋書の売れ筋ランキングを見る)
- - 713位Applied
- - 1,409位Professional Science Mathematics (Kindleストア)
- - 1,523位Databases (洋書)
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