Link of the day (+comment): "Linear Algebra for Data Science" by Wanmo Kang and @kchonyc, pdf online here:
kyunghyuncho.me/linear-algebra…
Now for the comment: this is uncannily all and only the linear algebra you you would need to read my upcoming book: projections first, then SVD, then eigenstuff, then posdev matrices. With examples and geometric intuition. It's like a better Strang book. There is no random matrix material unfortunately or randomized linear algebra, but in exchange you get focus and compactness. It should be relabeled "Linear Algebra for Data Science and Finance too".
Even @USATODAY is joining our standing ovation to MIT's Prof. Gilbert Strang! Prof. Strang recently delivered his final lecture on #LinearAlgebra. Learn more about his impact as an educator in the MIT classroom and online: bit.ly/3qbWKqV.
@MITMath#onlinelearning 👏
Join Prof. Gil Strang LIVE as he teaches his last lecture before his retirement. Be there or be square->Watch live on our YouTube channel May 15th, 11am EDT.
bit.ly/3ppgQ0y@MITMath