From Linear Algebra to Deep Learning in 7 Books (Winter 2024 Update)

Each of those five books I think are really great, for their very own reasons. Elements of Statistical Learning for example is what got me excited about data science in the first place, back when I was an undergraduate student. In fact, all five books over the years helped me learn so much and I wouldn’t be where I am now without them. However, they were just a subset of my favorite data science and ML books that I discovered and learned from, so this is why I want to write about another batch of seven books that I think are just as amazing and worth adding to your (virtual) shelf. For each of them, I will tell you why I think they are so great, what they taught me, and some advice on how to read them. <a href="https://towardsdatascience.com/from-linear-algebra-to-deep-learning-in-7-books-winter-2023-update-8df2b706a0b1">Visit Now</a>