Before Machine Learning Volume 1 - Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Inteligence.

If you're interested in machine learning and data science, then you know how important it is to have a solid understanding of linear algebra. In my opinion this book can help ANYONE master the essentials of linear algebra and build a strong foundation for their machine-learning journey, or just general understanding. What sets this book apart is its unique approach to teaching. The material is presented in a conversational style, using real-life examples that illustrate the practical applications of linear algebra. This approach makes otherwise tedious content engaging and memorable. Going more into the the actual science, the book does cover all the essential topics in linear algebra, from vectors and matrices to eigenvalues and eigenvectors which is rare, especially for the style of book. The author really does an amazing job in assuming no prior knowledge of linear algebra, making it perfect for beginners. However, it also includes advanced concepts, making it a valuable resource for more experienced learners. Looking forward for the next series! 💪🏼

"Before Machine Learning" teaches linear algebra for machine learning in a unique and engaging way. This book is perfect for both beginners and experienced practitioners and covers all essential topics, making it a must-read for anyone interested in machine learning.

Trust me when I say it is very difficult to find a book that truly breaks down this subject matter into bite size easy to understand chunks. This book does just that. It breaks down a complex subject into a simplified format. I HIGHLY RECOMMEND IT!!!!!! *****

A rigorous run through of linear algebra with just the right level of silliness. Rewards careful reading. Good book, you should get it if you’re interested in machine learning.

This book is brilliant. I really struggled with mathematical concepts through education and wish I had this kind of material through my undergraduate and postgraduate degrees. Looking forward to volume 2.

I LOVED THIS BOOK! I am currently studying applied mathematics for my Computer Science Masters degree and needed extra help for an A.I project I'm working on. I was recommended this book after chatting to someone who read it on my discord channel and said it really helped him because it does not follow old traditional and outdated maths book, but it quite fresh and written as if you're speaking to a knowledgeable friend rather than your old maths professor. I hope there is a Volume 2. 5 STARS!!

This book provides an excellent introduction to linear algebra for machine learning. The author explains the concepts clearly and provides practical examples to reinforce understanding. I highly recommend it to both beginners and experienced practitioners.

A very refreshing approach to explaining potentially complex mathematics using simple real life examples. Highly recommend for anyone looking for introductory books on Machine Learning.

I found this book while searching for books to help me understand machine learning for my job, and it did not disappoint. This book is great - it's engaging, and well-explained - and I especially liked the clear graphics. The author adds funny and personal anecdotes so I didn't get bored while reading it either. Thanks! and hoping for more volumes.

As a student going into ML without much of a linear algebra foundation, I'm finding this book highly useful. Starts from the basics and works at a reasonable pace to establish core ML concepts in a way that the reader can not just understand how it works, but EXACTLY why it works. This book is special because unlike most CS books, you can read it front to back like a novel. This is a wonderful change of pace that reignited my interest in the intersectionality between mathematics and CS. When I read this, I feel not like I'm reading a book, but instead like I have my very own personal teacher sitting in a room with me explaining ML concepts and guiding me along in a dynamic, interactive fashion. I think it's because the author explains things in a slightly less traditional or formal way than most other books of its kind, in more of a story telling fashion. (Yet still just as informative) Most are familiar with the idea that novels are more easily absorbed than textbooks. I believe the author has leveraged this concept in a beautiful way by introducing ML as a storyteller, keeping the reader engaged and interested, rather than just spitting out axioms and theorems. I believe that if a lot more educational books were structured like this, things would change a lot in a positive direction. Definitely would recommend!!

Libro bastante amigable para tener un panorama general y bueno de lo que necesitas antes de ML.

J'ai aimé le livre en raison de ses explications claires sur l'algèbre linéaire. De plus, il est de taille pratique et facile à transporter.

I’d love to like this book, but it’s simply not formatted for Kindle. Unusable in landscape mode, no dark mode and is no better than a PDF on IPad. Annoying