[builds-list] Fwd: [Boston-Predictive-Analytics] New Event: Gradient Boosted Regression Trees
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
To: Boston-Predictive-Analytics-announce at meetup.com
Last summer following PyData Boston we created a spin-off Meetup group for
Python + Data Science given there is growing interest in this area.
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.
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.
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