Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

I love this book. Very well presented information. It also has a companion GitHub repo to help with the code, and YouTube videos by the author. I only completed Algebra in school and appreciate how it stepped me through some complex ideas. As usual with O'Reilly books, the quality of the book is very good, from typography to the paper used. It feels good in the hand. I love O'Reilly books.

Love this book, the author is very responsive to questions too and there is a whole series he made on YouTube going over the answers to the chapter questions. One of the most if not the most approachable and practical introductions to linear algebra I’ve seen, also you will get better at python and numpy.

The author did an excellent job with making the material in the book fun and engaging. You can tell that the words he used in the book are made to sound like he's talking to you to in person. He comes across as knowledgeable about the topic and that the material is genuinely fun for him. I also liked his use of repetition in the concepts. He quite often reiterated points made in previous sections which was refreshing for a beginner/intermediate like myself so that I didn't have to continually flip back and forth while moving through the book. He also used paired visual graphs/cues and code exercises to drive home the absolute core concepts of linear algebra and their use in data science. My only mild complaint/con of the book was that I wish he added more code exercises that acted as practice for the concepts listed. Instead of many different combinations of numbers for practicing the material in the real world, the code exercises were more of a helpful side bar by explaining concepts in more detail. For example in the matrix-vector multiplication section, the only related code exercises are about the actual equation/themes itself instead of different combinations of vectors and matrices for practical, hands-on practice. Overall, I enjoyed reading and learning from this book and would recommend it to a fellow colleague/friend and would buy from this author again in the future.

Readable. Good information.

I wasn’t sure what to expect with this book to be honest. It has really inspired me mathematically and coding wise. It’s to the point, clear, concise, and precise. I did not have more math skills than algebra and geometry and I understand it enough to enjoy it. I’m about 75% in, its more of a book for math than code but both can be used

Awesome book and content

If you took a previous course in Linear Algebra and did not understood the rationale of many concepts, then this book is for you. Highly recommended for getting the Aha ! moment instead of using equations in a dogmatic way.

Nearly impossible to follow equations in my Kindle Paperwhite. Missing division and exponential operands, summation notation is sigma symbol without usual sub & superscripts. Equations are shown correctly in my phone’s Kindle app.

great book for learning linear algebra using python (text is supported by a generous github repo of code)

I bought this for the kindle. Content is good, but the formatting for all the formulas is all messed up on kindle paperwhite which makes things hard to follow

You can always trust Mike X Cohen’s textbooks and online courses. Brilliant teacher. Thanks