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Predictive Analytics World for Financial Las Vegas 2020

May 31-June 4, 2020 – Caesars Palace, Las Vegas



This page shows the agenda for PAW Financial. Click here to view the full 7-track agenda for the five co-located conferences at Mega-PAW (PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, and Deep Learning World).

Session Levels:

Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level

Pre-Conference Workshops - Sunday, June 16th, 2019

8:30 am
Room: Octavius 13-14
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm

This one day workshop reviews major big data success stories that have transformed businesses and created new markets. Click workshop title above for the fully detailed description. 

Leader
Marc Smith
Chief Social Scientist
Connected Action Consulting Group
2:00 pm
Room: Octavius 15 & 16
Pre-Conference Training Workshop

Two and a half hour afternoon workshop:

This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis. Click workshop title above for the fully detailed description.

Leader
Brennan LodgeGoldman Sachs
Data Scientist VP
Goldman Sachs
4:30 pm
End of Pre-Conference Training Workshops
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Pre-Conference Workshops - Monday, June 17th, 2019

8:30 am
Room: Octavius 21 & 22
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning). Click workshop title above for the fully detailed description.

Leader
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
Room: Octavius 15 & 16
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Click workshop title above for the fully detailed description.

Leader
Brennan LodgeGoldman Sachs
Data Scientist VP
Goldman Sachs
Room: Neopolitan 1 & 2
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting. Click workshop title above for the fully detailed description.

Leader
Dean AbbottSmarterHQ
Co-Founder and Chief Data Scientist
SmarterHQ
Room: Octavius 17-19
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day introductory workshop dives deep. You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learning. Click workshop title above for the fully detailed description.

Leader
James McCaffreyMicrosoft
Senior Scientist Engineer
Microsoft
4:30 pm
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Post-Conference Workshops - Thursday, June 20th, 2019

8:30 am
Room: Octavius 21 & 22
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models. Click workshop title above for the fully detailed description.

Leader
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
Room: Octavius 15 & 16
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists. Click workshop title above for the fully detailed description.

Leader
James Casaletto
PhD Candidate
UC Santa Cruz Genomics Institute and former Senior Solutions Architect, MapR
Room: Octavius 17 - 19
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

During this workshop, you will gain hands-on experience deploying deep learning on Google’s TPUs (Tensor Processing Units) – held the day immediately after the Deep Learning World and Predictive Analytics World two-day conferences. Click workshop title above for the fully detailed description.

Leader
Martin GornerGoogle
Developer Relations
Google
4:30 pm
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