math

Susan Rigetti has a nice overview [0] In this Susan recommends https://www.khanacademy.org/, which is good for most things learned in primary or secondary school. There is an open source curriculum equivalent for an undergrad compromised of MOOC and similar resources [1] Similar to the above is a markdown [2], with a scope directed towards people coming from a CS background. After this perhaps focus more on statistics & data science for metric interpretation. R for Data Science [3] is an option. [0] https://www.susanrigetti.com/math [1] https://github.com/ossu/math [2] https://github.com/NavigoLearn/RoadmapsMarkdown/blob/master/... for computer science/full-roadmap.md [3] https://r4ds.hadley.nz/

This might Help! https://github.com/ossu/math#core-mathematics

There is an Open Source curriculum [0].This consists of: MOOCs, videos, pdfs, etc. It should provide you with a guide of what/where to study. Neil Sainsbury posted their own list of books [1] Alan Kennington provides a 10 steps learning mathematics[2] Another source to get an overview of a topic [3] [0] https://github.com/ossu/math [1] https://www.neilwithdata.com/mathematics-self-learner [2] http://www.geometry.org/tex/conc/mathlearn.html [3] http://mathonline.wikidot.com/

Check out ossu/math. Good list of resources and community on discord https://github.com/ossu/math or ossu/datascience has suggested math prerequisites for data science https://github.com/ossu/data-science