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Gil Strang's books are probably even better for an adult with little math background. Intro to Linear Algebra: http://math.mit.edu/~gs/linearalgebra/ http://ma
by mhneu 9y ago
Gil Strang's books are probably even better for an adult with little math background.
Intro to Linear Algebra:
http://math.mit.edu/~gs/linearalgebra/ 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/ 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.
- s3r3nity 9y agoI 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.
- marxama 9y agoThere are also complete lecture series on linear algebra with Gilbert Strang on Youtube, highly recommended.