A group for business, technical & analytic professionals to discuss predictive analytics and how it can be applied in today's business environment. Predictive analytics can help you improve the visitor experience and ultimately, ROI. Advanced analytical techniques such as Collaborative Filtering, Machine Learning, Data Mining, Semantic Search, Search Ranking Algorithm, Social Media Optimization and Search Engine Optimization (SEO) will be the focus. Meetings will discuss, for example, new trends and technologies in our field, and best practices for applying Product Recommendation, Content Optimization & Behavioral Targeting in your business. Latest Reading List http://www.meetup.com/NYC-Predictive-Analytics/boards/thr... Follow DKALab on Twitter http://www.twitter.com/DKALab Join our Linkedin group:http://www.linkedin.com/groups?viewMembers=&gid=3221084&sik=1281714752192
NYC Predictive Analytics
Events coming up
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Past events
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The art of predictive analytics: More data, same models
Fri, 3 Feb 2012, 00:00 - 02:00 in New York, United States
We're really excited for our next event with Joseph Turian! Come at 6:30 to network with the group.ABSTRACT:This talk will present a handful of recipes for cheaply improving the accuracy of existing models.Sure, if you want more accuracy, you can read the latest papers and spend a bunch of time implementing new fangled models. It's definitely fun to brag about how you took the long road.
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Bayesian Generalized Linear Models and Appropriate Default Prior
5-6 Jan 2012 in New York, United States
For our first event of 2012, we are excited to have Dr. Andrew Gelman, Professor of Statistics and Political Science at Columbia University, present his work to the group.This event will be sponsored by Revolution Analytics who will be providing pizza AND will be raffling off a full licence of Revolution R Enterprise version 5.0!! So come early to join the fun! The license will be for 6 months and will be extended to a year if the winner participates in a short phone survey after 6 months.
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Hidden Markov Models in a Nutshell
3-4 Nov 2011 in New York, United States
We're excited to have Oualid Missaoui at the podium to share his extensive experience with Hidden Markov Models. His talk description and bio follow...Description: Hidden Markov Models (HMMs) have emerged as a powerful paradigm for modeling stochastic processes and pattern sequences. Originally, HMMs have been applied to the domain of speech recognition, and became the dominating technology.
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Bayesians, Frequentists, and Big Data: Musings on Statistics in the 21st Century
19-20 Oct 2011 in New York, United States
Our October meeting will be hosted by the Predictive Analytics World (PAW) conference and will be preceded by a PAW reception which our members are welcome to attend.NOTE: You do not have to be a paid registrant of the PAW conference to attend our event.Registration Process: Please register for our event in 2 places. 1. Here on Meetup 2.
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ML Classroom: Classification (pt 1)
14-15 Apr 2011 in New York, United States
Talk description :This talk will be a gentle introduction to two standard classification techniques - logistic regression, and support vector machines. For each classifier, we will formalize the problem, formulate an objective function, and discuss how to optimize it. Using different data sets, we will compare how the two classifiers stack up to each other in practical settings. The role of L1 and L2 regularization in machine learning will also be discussed.
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Discussing 2 entries to the R Package Recommendation Engine competition
Fri, 11 Mar 2011, 00:00 - 02:00 in New York, United States
Join us on Thursday, March 10, in a slightly less formal format where Max Lin (Team "Record Me Men" - 2nd place) and Alex Lin (Team "Machine" - 4th place) will discuss their participation in and solutions to the R Package Recommendation Engine competition organized by the writers for | dataists, a new blog for data hackers. It was hosted on Kaggle, a new platform for data modeling and prediction competitions and created to support the great R user community.
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