[pymvpa] Introduction to Machine Learning and SVMs

[Rajeev Raizada]

> Date: Mon, 16 May 2011 23:22:41 +0200
> From: Brian Murphy <brian.murphy at unitn.it>
> Subject: Re: [pymvpa] Introduction to Machine Learning and SVMs
> I really liked this primer from Nature Biotechnology, which I think gets
> the point across intuitively in only 3 pages:
>    William S Noble
>    What is a support vector machine?
>    Nature Biotechnology 24, 1565 - 1567 (2006)
>http://www.broadinstitute.org/annotation/winter_course_2006/index_files/Noble%202006%20SVM%20tutorial%20Nat%20Biotech.pdf
>    http://www.nature.com/nbt/journal/v24/n12/abs/nbt1206-1565.html

Thanks for the pointer to this.
It's an excellent article, and would also be great for teaching.

It appears that Nature Biotechnology has a whole series of such tutorial papers.
This Google Scholar search turns up a bunch of good ones:
http://scholar.google.com/scholar?hl=en&q=intitle%3A%22what+is%22%7C%22what+are%22&as_publication=nature+biotechnology
In case that long URL gets broken via e.mail, here is a shortened version:
http://tinyurl.com/6e4u7ct

Here are direct links to some which look good:

What is Bayesian statistics?
http://www.marcottelab.org/users/CH391L/Handouts/NBTPrimer-Bayes.pdf

What is Principal Components Analysis?
http://www.marcottelab.org/users/CH391L/Handouts/Nbt_primer-PCA.pdf

What are Decision Trees?
http://www.gersteinlab.org/courses/452/09-spring/pdf/DecisionTrees.pdf

What is a Hidden Markov Model?
http://bio5495.wustl.edu/HMMs/Eddy-ATG4-reprint.pdf

What is the Expectation Maximization algorithm?
http://cs.utsa.edu/~jruan/teaching/cs5263_fall_2008/reading/whatisEM.pdf

What are Artificial Neural Networks?
http://www.apl.jhu.edu/~przytyck/neural_net_primer.pdf

What is Dynamic Programming?
http://www.marcottelab.org/users/CH391L/Handouts/Lecture5-NBT-primer-dynamicprogramming.pdf

[This last one was alread given above, but here is again anyway]
What is a Support Vector Machine?
http://www.cs.ucf.edu/~haihu/cap6545/Readings/svm/noble_svm.pdf

That journal really contains a treasure trove!
Thanks again to Brian Murphy for the original link to it.

Raj