Most linear algebra textbooks feel like they were written in the 19th century, filled with proofs that have little to do with modern computing. This book flips the script by being:
Understanding the "DNA" of a matrix to simplify complex data. Most linear algebra textbooks feel like they were
Master the Math of Data: Why "Practical Linear Algebra for Data Science" is a Game Changer Most linear algebra textbooks feel like they were
(Mike X Cohen) is arguably the best resource for bridging that gap using Python. Why This Book is Different Most linear algebra textbooks feel like they were
The foundation of deep learning and neural networks.