#284 overall
Natural Language Processing (Michael Collins)
Coursera
2 recommenders · 2 threads · recommended in 2 years, 2013–2014 · score 1.8
An NLP course taught by Columbia professor Michael Collins on Coursera, covering statistical methods for natural language processing such as parsing, tagging, and log-linear and perceptron models.
Commenters point to it as a solid, research-grounded NLP course from a well-known researcher in the field, alongside his lecture notes.
Recommendations by year
20062026
check out Michael Collins's NLP course: https://www.coursera.org/course/nlangp
and notes: http://www.cs.columbia.edu/~mcollins/
he talks about averaged perceptron at the end (Lectures on generalized log-linear models - GLM http://www.cs.columbia.edu/~cs4705/)
perceptron tagger code (hw4 solution) can be found here https://github.com/emmadoraruth/Perceptron_Tagger.git
Take a look at Coursera, the NLP course by Jurafsky/Manning (authors of recommendable books) was ok; and right now there's another course starting by Collins, another state-of-art researcher in NLP.
Here's some free book lists
http://www.kaggle.com/wiki/Tutorials
http://metaoptimize.com/qa/questions/186/good-freely-availab...
I think the best single resource is Kevin Murphy ML text, but there's lots of relevant stuff on linear algebra, Bayesian analysis etc
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Here's a "curriculum"
http://blog.zipfianacademy.com/post/46864003608/a-practical-...
And look at the coursera courses by Koller, Andrew Ng, NLP by Collins etc