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The Latest in Predictive Analytics Comes to New York
You know how much value and insight Predictive Analytics World offers and we want you to be among the first to know what’s on tap October 29-November 2, 2017 in New York City.
Come see top experts and practitioners present on topics like:
The Right Analytics for the Job: Tips and Tricks for Success
Anne Robinson, Verizon Wireless
Quickly Building an Analytics Environment to Address a Public Health Crisis in NYC
Simon Rimmele, NYC Mayor's Office of Data Analytics
Crowd-Sourcing and Quality: How To Get The Best Out of Hand-Tagged Training Data for Machine Learning Models
Leslie Barrett, Bloomberg L.P.
Retention Modeling in Uncertain Economic Times
Rob Rolleston, Paychex
The Sprint for Teaching Data Science: LinkedIn Learning, Analytics, and the New Era of Just-In-Time Skills Training
Steve Weiss, LinkedIn
Time Series Prediction with Twitter: A Case Study of Crime in New York City
Anasse Bari, George Washington University
Aaron McKinstry, Courant Institute of Mathematical Sciences of New York University
Chuan-Heng Lin, Enrolled at New York University
Gen Xiang, Trinnacle Capital Management
Relative Value of Implicit and Explicit Feedback in Predicting Customer Preferences
Jennifer Prendki, Walmart
Predicting Brand Love With Wireless Behaviors
Michael Gooch-Breault, Verizon Wireless
And that’s all before lunch on the first day! And before Claudia Perlich of Dstillery presents
The Predictability Predicament: Your Model Overlooks the Real Target
Check out the entire agenda
Co-located event: PAW Financial. This PAW Business event is held alongside PAW Financial; financial services-focused sessions will be located there. Available cross-registration options provide you the opportunity to attend sessions at both events.
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