Resources for Data Science, Statistical Analysis, ML & Scientific Computing

[Simfish]

http://www.quora.com/How-do-I-become-a-data-scientist

Huge collections of resources can be found at http://www.quora.com/Alex-Kamil/answers (you can edit them too)

For example,

http://www.quora.com/What-are-some-good-resources-for-learning-about-distributed-computing
http://www.quora.com/What-are-some-good-resources-for-learning-about-statistical-analysis
http://www.quora.com/What-are-some-good-resources-for-learning-about-numerical-analysis
http://www.quora.com/What-are-some-measures-of-complexity
http://www.quora.com/What-are-some-good-resources-for-learning-about-wavelets
http://www.quora.com/What-are-some-good-resources-for-learning-about-data-compression
http://www.quora.com/What-are-some-alternatives-to-Bishops-PRML-textbook
http://www.quora.com/Machine-Learni...s-for-learning-about-dimensionality-reduction
http://www.quora.com/What-are-the-b...-edge-technologies-and-recent-research-trends
http://www.quora.com/What-are-some-good-resources-for-learning-about-machine-learning

Now, as for scientific computing...

http://www.code.google.com (you can search for a lot of code there). I'm sure there are better repositories somewhere else though.
http://aima.cs.berkeley.edu/code.html (online code repository for the Russell and Norvig AI textbook)
http://www.sai.msu.su/sal/B/1/ (numerical analysis repositories)
http://www.astro.psu.edu/statcodes/ (online statistical software for astronomy and other fields)
http://www.josemiguelpasini.name/links/scientific_computing.php (a few scientific computing links)
http://www.netlib.org/ (netlib repository, seems to be highly regarded from the other websites)
http://www.codecogs.com/ (open source scientific library, not sure how useful this is yet though)
http://www.cisl.ucar.edu/css/software/spherepack/ ("SPHEREPACK 3.2 is a collection of FORTRAN programs that facilitates computer modeling of geophysical processes. The package contains programs for computing certain common differential operators including divergence, vorticity, gradients, and the Laplacian of both scalar and vector functions.")

http://www.delicious.com/tag/scientific-computing (delicious bookmarks, will be very hit and miss)

You can also occasionally use the filetype: operator in google search to find source code in a particular language. So filetype:c, or filetype:m, or filetype:py, etc...

 

[Simfish]

Also, you can find repositories at https://github.com/ and at http://www.bitbucket.org (use site:x.com on google to search)

 

[Simfish]

http://www.stat.columbia.edu/~gelman/software/ => Gelman's public research software

http://www.stat.columbia.edu/~gelman/ also has lots of stuff

 

[Simfish]

http://shootout.alioth.debian.org/ - "Compare the performance of ≈24 programming languages for 4 different combinations of OS/machine. Contribute faster more elegant programs. And please don't jump to conclusions!"

Also check out the tags (on these forums) that correspond to computational and SciComputing

http://vizsage.com/other/leastsquaresexcel/ - Least Squares Error Fitting with errors in both coordinates

http://www.mathworks.com/matlabcentral/fileexchange/ - MATLAB File Exchange

http://courses.washington.edu/matlab2/lessons.html - MATLAB Lessons - pretty advanced features here

 

[Simfish]

Can't forget http://www.reddit.com/r/matlab, http://www.reddit.com/r/mathematica, http://www.quora.com/matlab, http://www.quora.com/mathematica

 

[UrchinStar47]

A textbook on high performance computing:
http://cnx.org/content/col11136/latest/

 

[Simfish]

http://www.sciencemag.org/content/331/6018.toc#SpecialIssue
http://www.sciencemag.org/site/special/data/ (free for all)

Dealing with data: special issue of Science.

11 FEBRUARY 2011
VOL 331, ISSUE 6018, PAGES 639-806

 

[umairaraza100]

wow very nice sharing and the links are working properly thanks for the sharing

 

[Simfish]

Parallel Computing:

http://view.eecs.berkeley.edu/wiki/Dwarf_Mine

http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.html

http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.pdf (seriously an amazing amazing paper)

http://view.eecs.berkeley.edu/wiki/Main_Page

http://www.stanford.edu/class/ee380/Abstracts/070131-BerkeleyView1.7.pdf

 

[Simfish]

http://www.distributedcomputing.info/

http://www.quora.com/Is-there-a-ser...ut-and-outputs-a-curve-that-fits-those-points