- #1
Simfish
Gold Member
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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...
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...
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