Re:Book: Mathematics for Machine Learning
by s3r3nity on Wednesday April 04, 2018 @11:20AM
(#16755556)
I can't recommend Strang enough. I tend to learn better when I can visualize math concepts, and had such a hard time understanding Linear Algebra until I finally bought a copy of that book. I love that thing, and it still sits in my bookshelf years later.
Intro to Linear Algebra: http://math.mit.edu/~gs/linearalgebra/
Strang does a GREAT job explaining the intuition behind linear algebra. The book is targeted at first-year undergrads and an adult with just high-school math could work through it.
Bonus: if you're interested in machine learning, you must learn linear algebra.
More advanced is this Strang masterpiece: Intro to Applied Mathematics. http://bookstore.siam.org/wc02/ It covers a lot of the applied math that we focused on pre-AI and pre-cloud computing. Diff eqs, diffusion equations, Fourier analysis, numerical methods, phase plane analysis, optimization, complex anlaysis.