Please join us for our next meetup on Wed 3/30 on Machine Learning with R with Rafi Lav (https://www.linkedin.com/in/refaellav).
6:30 - 7:00 Food, drinks and meet new people
7:00 - 7:15 Intros and announcements
7:15 - 8:30 Presentation, Q&A
8:30ish Off to the bar
About the Talk
Machine learning has become increasingly associated with advanced analytics. We will explore the basic idea behind machine learning, the steps to apply machine learning, and some of the supervised and unsupervised models. We will focus on classification models and will walk through the R code for those models.
We will go over a real life business application at a major institution and touch on key practical lessons learned for machine learning. The talk will address know how from a practitioner’s point of view.
There will be code!
Rafi is an advance analytics manager with the Advisory Services data and analytics practice at Ernst & Young (http://www.ey.com). Rafi is a practitioner with a background in economic research, finance and data analytics from algorithms to BI to data mining. He has consulted on new product developments, business initiatives, process reengineering, technology solutions and efficacy implementations.
He has developed R machine learning models for large financial institutions and oversees the analytics training for Data and Analytics. Rafi holds a Master's of Science of Finance from Johns Hopkins University and B.S. in Economics from George Washington University. He serves on the financial advisory committee to the board of Washington Yu-Ying Public charter school and on the corporate advisory board for the master in analytics at GWU.
Follow him at @refaellav (http://www.twitter.com/refaellav)