Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

This book breaks down the often-intimidating world of data science into something approachable. The explanations are clear, and the examples are practical, making it perfect for beginners or anyone brushing up on their math skills. It’s a great resource for tackling the math side of data science with confidence

My team references this book often when explaining why they formed a conclusion from data. It's core to our business and this book outlines so comprehensively the methods of doing it right, identifying bias, and ensuring our conclusions are accurate.This is not a how-to book. It's not even a book on math, really. This is the "why" behind working with data. It is the definitive handbook on data that every data scientist, analyst, business manager should understand before working with data.If you work with data - and just as importantly - if you rely on a team that works with data, this needs to be on your bookshelf.

This book gives a simple and methodical background to the use of math in DS. The author makes sure that there are no gaps in the introduction of math knowledge of the reader when explaining the algorithms. This book makes you appreciate the theories behind DS and ML.The final chapter discloses the reality in the demand vs hype of DS skills, which is honest and valuable.Few errors in the narrations which should be fixed in the next revision.

I came to this with very little stats and linear algebra knowledge and no calculus. The author goes into just enough detail to be able to understand the math without getting overwhelmed, and the Python implementations really help break up the content and stick the math into your mind. The chapters build on each other with a final chapter on Neural Networks integrating everything you have learned previously. This chapter was a bit hard for me to completely follow and I plan to revisit it after some additional math training. This is a book I think I will go back to again and again through the next couple of years.

I didn’t think it would be a book on math. Several attempts have been made and in my humble opinion all have failed.If you don’t know algebra, you won’t learn it here.Plus, most of the book is about analytics, not math.And most frustrating, nowhere does it tell you why math is important. Frankly, I have rarely needed it and this book shows me no reason to learn it.

This is one of the best books I have read, really explaining the fundamentals of math like never explained before. I am also making by teenagers read this book to clarify some concepts and develop more interest in mathematics. I highly recommend this book.

Presents mathematical concepts in an approachable way that is actually applicable to DS. When they told you the math would be useful some day, this book actually points out why in terms of DS problems.

I read the first 20 pages and it was pure filler. It discussed things like order of operations, what rational and irrational numbers are and what a variable is. The text seems to assume that the reader has did not get farther than basic arithmetic in school and has never written a program. The text tells the reader that things like derivatives exist and then goes on to assure us that we don't have worry because python does it all for us.