Introductions + Machine Learning with R + Financial Time Series

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This first meeting will be your opportunity to help shape the direction for this group.

With recent exposure in the NY Times, R is become less of an obscure tool confined to academia. The R-SIG-Finance list is full of New Yorkers who apply R in financial settings. Inside Google, Facebook and other data intensive companies, R plays an important role in helping analysts understand ecosystems.

And R can be a lot of fun to use too. A powerful, and sometimes painful, mix of functional, imperative and object-oriented programming - the learning curve is steep and many things don't work as one would expect. Given this, I find it terribly useful to keep in touch with other R programmers as I'm always learning new tricks and improving my skills.

Meeting Agenda:

1. Introduction to R
2. Machine Learning in R
3. Whit Armstrong will talk about his Financial Time Series package
4. Suggestions for future meetings discussion
5. General R Q&A

I hope to see you there.