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I went through a decent mathematical curriculum during college including calculus and linear algebra several years ago, and while I was nowhere near the best I had good skills. Recently I have been trying to implement machine learning and what I have found out is that I have lost most of the capacity for math, specifically following proofs etc.

I think this may have happened to other people as well, and while I am in no way averse to hard work or putting in long hours, a little direction to start off would be very helpful.

Keeping that in mind, are there books or tutorials that are useful when trying to refresh mathematical knowledge (refresh being the key here)? My area of interest is machine learning so the main topics I need to be good at are algebra and calculus. I have already ordered How To Prove It as it was recommended elsewhere to me.

Thanks a lot.

I have been working through Tom Mitchell's book on machine learning and I want to supplement the theory with a practical project.

Does anyone have experience with small projects which helped them in a similar situation? The most I have come up with is building a news classifier which will use the feedzilla and NY Times api but if anyone has other good ideas please let me know.

I have reasonable programming experience with python and have access to a linode so I will be using these to implement the project.

Thank you