Comments on: Book Review: Linear Algebra and Learning from Data by Gilbert Strang https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/ Illuminating AI's Frontiers: Your Go-To News Destination. Sun, 13 Feb 2022 03:02:27 +0000 hourly 1 https://wordpress.org/?v=6.6.1 By: Wellesley Publishers (India) https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-422390 Sun, 13 Feb 2022 03:02:27 +0000 https://insidebigdata.com/?p=24399#comment-422390 In reply to Anaa.

Answers to selected problems is available on the book’s companion website :
math.mit.edu/learningfromdata/

]]> By: Anaa https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-422228 Sat, 12 Feb 2022 11:14:17 +0000 https://insidebigdata.com/?p=24399#comment-422228 I want solution set of exercises

]]> By: Wellesley Publishers (India) https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-267179 Thu, 19 Nov 2020 08:22:39 +0000 https://insidebigdata.com/?p=24399#comment-267179 Prof. Gilbert Strang has published an Indian edition of this book.
For more information, visit Wellesley Publishers (India) : http://www.wellesleypublishers.com
This book is based on the MIT course 18.065 at OpenCourseWare (ocw.mit.edu).
Book-specific website : math.mit.edu/learningfromdata

]]> By: Daniel Gutierrez https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-235281 Thu, 13 Aug 2020 02:46:00 +0000 https://insidebigdata.com/?p=24399#comment-235281 In reply to Andrey M.

Hello Andrey,

Thank you for your comments about my book review, much appreciated. In reference to your comment, I indicated that the Strang book didn’t make a “tight” connection between SVD and PCA as I’ve seen in other books. In fact I really like the connections made in the Aggarwal text you mention. Chapter 7 of that book is great, and integrates all the areas surrounding SVD to data science. Don’t get me wrong, I really like the Strang book, just like the treatment given in other books better.

Daniel

]]> By: Andrey M https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-234927 Tue, 11 Aug 2020 21:50:33 +0000 https://insidebigdata.com/?p=24399#comment-234927 I cannot agree that the book does not connect linear algebra topics with their applications in data science. The claim that singular value decomposition is not tied to principal component analysis is simply false. Chapters I.8 and I.9 of Strang’s book are dedicated to this topic; the chapters are titled “Singular Values and Singular Vectors in the SVD” and “Principal Components and the Best Low Rank Matrix” respectively. Other points in the review are valid, especially the one about missing bibliography.

It would be interesting to compare Gilber Strang’s 2019 book with Charu Aggarwal’s “Linear Algebra and Optimisation for Machine Learning”.

]]> By: Kenji Hiranabe https://insideainews.com/2020/06/11/book-review-linear-algebra-and-learning-from-data-by-gilbert-strang/#comment-225935 Fri, 12 Jun 2020 06:53:30 +0000 https://insidebigdata.com/?p=24399#comment-225935 Great review ! I’m also a fan of Prof. Strang, read through the first intro book and now am reading this book. I also wrote a blog post around it. Happy to have found another fan ! https://anagileway.com/2020/06/04/prof-gilbert-strang-linear-algebra/

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