Math Learning Resources

  • #1
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Feel free to use this thread to post online learning resources for math. This may include PDFs, free online books, web apps, problem sets, calculators, tutorials, guides, lessons etc etc.

First stop should be our very own PF Insights blog which hosts many mathematics tutorials
https://www.physicsforums.com/insights

Please don't just post a link, include a description and why it is worthwhile for people to check out.

Thanks!
 
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  • #3
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A book on advanced integration techniques. It explains how to deal with lots of special functions like zeta, Gamma, eliptic integrals, error function and so on.

https://zaidalyafeai.files.wordpress.com/2015/09/advanced-integration-techniques.pdf [Broken]
 
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A book on advanced integration techniques. It explains how to deal with lots of special functions like zeta, Gamma, eliptic integrals, error function and so on.

https://zaidalyafeai.files.wordpress.com/2015/09/advanced-integration-techniques.pdf [Broken]
the file no longer exists. what book is it?
 
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  • #16
Ssnow
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This is very good:

https://www.edx.org/

I followed and passed ''Foundation of data analysis, statistics using R, part1'' online, there are also other math courses on geometry and analysis from the basic to the advanced level. You need to register in order to follow a course ...
Ssnow
 
  • #17
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Another great resourse is KhanAcademy. Salman Khan is a great teacher. The site has lots of videos (over 40000) on different subjects about math and other interesting things. And there are a lot of exercises as well to practice your new knowledge.

https://www.khanacademy.org
 
  • #20
StoneTemplePython
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David Spivak has a new version of the e-book out:

Seven Sketches in Compositionality: An Invitation to Applied Category Theory
http://math.mit.edu/~dspivak/teaching/sp18/7Sketches.pdf
Interesting. It's 240 pages but aimed at a very wide audience.

The purpose of this book is to offer a self-contained tour of applied category theory. It is an invitation to discover advanced topics in category theory through concrete real-world examples...

The audience for this book is quite diverse: anyone who finds the above description intriguing. This could include a motivated high school student who hasn’t seen calculus yet but has loved reading a weird book on mathematical logic they found at the library. Or a machine learning researcher who wants to understand what vector spaces, design theory, and dynamical systems could possibly have in common. Or a pure mathematician who wants to imagine what sorts of applications their work might have. Or a recently-retired programmer who’s always had an eerie feeling that category theory is what they’ve been looking for to tie it all together, but who’s found the usual books on the subject impenetrable
 

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