Linear Algebra and Optimization for Machine Learning: A Textbook

Livro muito bom. Atendeu plenamente às minhas expectativas do momento. Além disso, poderá ser útil, futuramente, no desafio de preparar aulas de Álgebra Linear/Otimização, no contexto de um programa relativamente extenso, de maneira a atender aos objetivos do curso.

Livro tem conteúdo muito bom. Mas veio danificado e eu tentei trocar mas perderam duas vezes o livro e só quando o terceiro chegou veio novamente danificado. Provavelmente veio agora o mesmo livro que devolvi.

Absolutely one of my top 3 technical book purchases for mathematics in machine learning and data science, out of my approximately 20 books total on these topics. Aggarwal has constructed a text that is both mathematically clear and with a clearly-written progression to more advanced topics in Linear Algebra. I especially purchased this book for more mathematical rigor *and* applications focus in Eigenvectors, Eigendecomposition, Principal Component Analysis, and Singular Value Decomposition; and Aggarwal has built an admirable construction covering these topics. Reference my photos of the start of the “Applications of Singular Value Decomposition” sections. (This section occurs about the 2/3 of the way through the book; so another 1/3 of the book’s content follows.) Highly recommended.

I found the book very useful. It provides a very good coverage of all the background in linear algebra and optimization needed to understand machine learning papers and tools, without having to read separate books on these two topics. This includes specialized topics needed in machine learning, which are not found in introductory books on these topics. There are a lot of good exercises in each chapter, some of which are pretty challenging, and these are very useful in getting a good grasp of the material.

I've read more than a few books on both linear algebra and machine learning and this one is by far the best. Concise explanations that make the concepts very clear. Almost like Gilbert Strang in his clear explanations of the concepts