ML SIG Session #1

[Shaleen]

Hello 

We're having the orientation and first session of ML SIG on 7th September, Friday at 8pm in 5101, on Markov Chains and MCMC Methods.

Spread the word to your friends who are interested and have a background in ML.

Best,

Shaleen

[Shaleen Sharma]

Please follow this link for a tutorial on MCMC in Machine Learning:

http://www.cs.princeton.edu/courses/archive/spr06/cos598C/papers/AndrieuFreitasDoucetJordan2003.pdf

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Regards

Shaleen Kumar Sharma

Undergraduate, BITS, Pilani

[Harsh Sharma]

Are there any prerequisites for the session ?

--

        Harsh Sharma
(mail.h...@gmail.com)

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[Shaleen Sharma]

It will be preferable that you have a basic background in Machine Learning to attend the session. Or you might find it a bit difficult to catch up :-)

[Shreya Inamdar]

Machine Learning Special Interest Group session#2 

Refer to the previous links for theory brush-up on MCMC. We'll have a short (45-50min) discussion on it's applications in the coming session

Time: 27th, Thursday, 8:30pm

Venue: fd3 mostly 3201 (will confirm)

Thanks

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Shreya

[Shaleen Sharma]

We are holding off the discussion on applications of Markov Chain Monte Carlo methods post mid sems. 

Tomorrow, we will instead have a discussion on Text Mining and NLP.

The session will be in 3201 at 8PM.

Relevant resources will be posted soon.

[Ajitesh Srivastava]

Hi, 

Here are some of the relevant sources:

Building the vocabulary from a corpus:

http://nlp.stanford.edu/IR-book/html/htmledition/determining-the-vocabulary-of-terms-1.html

Weighing of terms:

http://nlp.stanford.edu/IR-book/html/htmledition/term-frequency-and-weighting-1.html

Question Answering:

http://en.wikipedia.org/wiki/Question_answering

Keyphrase Extraction:

http://en.wikipedia.org/wiki/Automatic_summarization#Document_summarization