Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition

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

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.

Haven't read the book yet, so I'll update this review when I finish it, but the quality of the book is terrible. I wouldn't recommend buying it if you care about book quality.

I have been reading a copy of this on Safari, so I have no physical copy to refer to, mainly because the physical state of O'Reilly's printed books has been very poor the last couple of years.But the contents are excellent. It probably can't really help with a linear algebra class, but if you are learning this for work it is very good. The author shows you the relevant equations, there is usually an illustration, and then he shows you how to perform the function in Python with lots of explanation. There are also several illustrations of how to use a concept in linear algebra to perform a certain task, such as image processing. I highly recommend this book. At least I recommend the contents.

I've never seen him put out anything that isn't ass-kickingly good.