======= Math ======= Linear Algebra ---------------- * The `computational linear algebra for coders `_ course is quite useful to get some practical linear algebra skills. * The `no bullshit quite to linear algebra `_ is a easy and fun read. * The `MIT introduction to linear algebra course from Gilbert Strang `_ is pretty accessible * Great visualizations are in `3Blue1Brown Videos `_ * A more advanced summary is `The Matrix Cookbook `_ Statistics ------------ * the course `inproving your statistical interference `_ on coursera does a great job in clarifying p-values, bayesian vs. frequentist statistics and experimental design