[builds-list] Fwd: [Boston-Predictive-Analytics] New Event: Gradient Boosted Regression Trees

Kenshin Maybe algorithmicascension at gmail.com
Wed Mar 26 12:28:49 EDT 2014


---------- Forwarded message ----------
From: John Verostek <johnverostek at gmail.com>
Date: Tue, Mar 25, 2014 at 4:22 PM
Subject: [Boston-Predictive-Analytics] New Event: Gradient Boosted
Regression Trees
To: Boston-Predictive-Analytics-announce at meetup.com


Hi Folks,

Last summer following PyData Boston we created a spin-off Meetup group for
Python + Data Science given there is growing interest in this area.

http://www.meetup.com/PyData-Boston/

Next Wednesday Peter Prettenhofer of DataRobot will be giving a talk on
Gradient Boosted Regression Trees (GBRT) which is a powerful statistical
learning technique with applications in a variety of areas, ranging from
web page ranking to environmental niche modeling.  He will be using
Python's scikit-learn to apply the technique to various examples. Please
see the following event page for more info.

http://www.meetup.com/PyData-Boston/events/171874092/

Please note the talk will include a mathematical front-end, and so for
non-Python users this may be of help.  For R-Users, there are various
R-libraries, such as gbm, brt, dismo, that pertain to this analytic
technique.  Some of the R-bloggers articles may be of help, too.

http://www.r-bloggers.com/?s=gradient+boosted



Best Regards,

John
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