Best book so far to learn Mathematic for Machine learning. It was actually the first book I have ever read at the start of my machine learning journey. I started reading the book on 2nd November 2020 and finish the book at the beginning of January 2021, I have no prior knowledge of calculus or linear algebra or probability and I manage to finish the book in 2 month, while spending like 5 to 10 hours a day on it. I find most concept in the book very challenging to understand and I spent more time outside the book learning about the basics of every topic I am faced with and then coming back to the book after understanding the basic. If you are up for some challenge as a beginner this is book for you. At the same time that am reading the book, I was also reading a book called Python Data Science Handbook and I finish the two books at the same time. And as of 1st February 2021, I started reading a book called Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow. After finishing this 3 books, I will dive into the field of A.I. with a confident background to start building cool projects.