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Is anybody aware of good books/resources on machine learning/data science in Matlab?

My SO has been trying to learn ML to further her work for a couple months now, and has had a hard time with it. She quite intelligent, but isn't a terribly experienced programmer (she's been writing Matlab for a couple years now, but mostly in a scientific setting)... Either way, I suspect part of the problem is that most of the explanations usually are in a language unfamiliar to her, and expect her to learn or translate it in addition to the concepts.



Andrew Ng, the man behind the excellent ML course on coursera, has an introduction to Deep Learning using Matlab.

[1]: Wiki with code, exercises and explanation

[2]: Video lecture one with a recap on back-propagation

[3]: Video lecture two on Sparse Auto Encoders

[4]: Handouts

In terms of books, Bayesian Reasoning and Machine Learning [5] is Matlab based. So is the Handbook of Monte Carlo methods [6].

[1]: http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial

[2]: http://www.stanford.edu/class/cs294a/video1.html

[3]: http://www.stanford.edu/class/cs294a/video2.html

[4]: http://www.stanford.edu/class/cs294a/handouts.html

[5]: http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...

[6]: http://www.maths.uq.edu.au/~kroese/montecarlohandbook/


This course is great: https://www.coursera.org/learn/machine-learning It's all done in GNU Octave, which is mostly compatible with MATLAB.


I would recommend this fantastic in-depth intro to the principles and practice of Amazon Machine Learning:

https://cloudacademy.com/amazon-web-services/courses/amazon-...

(Hand-crafted by data and code guru James Counts)




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