Predictive Analytics World for Business - The Top 3 Innovations in Analytics – John Elder's Special Plenary

John Elder’s Special Plenary Session a Highlight of
PAW Business 2020

Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020 is proud to announce a special plenary session by John Elder.


Session Description:

The Top 3 Innovations in Analytics I've Seen

The three most important analytic innovations I’ve seen in (35 years of) extracting useful information from data are: Ensemble models, Target Shuffling, and Awareness of Cognitive Biases. Ensembles are competing models that combine to (very often) be more accurate than the best of their components. They seem to defy the Occam’s Razor tradeoff between complexity and accuracy, yet have led to a new understanding of simplicity. Target Shuffling is a resampling method that corrects for “p-hacking” or the “vast search effect” where spurious correlations are uncovered by modern methods’ ability to try millions of hypotheses. Target shuffling reveals the true significance of a model, accurately assessing its out-of-sample precision. Lastly, the increased understanding of our Cognitive Biases, and how deeply flawed our reasoning can be, reveals how projects can be doomed unless we seek out — and heed — constructive critique from outside.

About the speaker:

John Elder
Founder and Chair
Elder Research

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.




Additional headliner sessions at PAW Business 2020:




From Self-Driving to Fraud Detection – How Lyft Streamlines Machine Learning Deployment

Gil Arditi - 
Product Lead, Machine Learning




Putting Ethical Principles into Practice When Deploying Machine Learning

Jen Gennai
 - 
Head of Responsible Innovation, Global Affairs




Becoming Data Driven in the Automotive Industry

A Charles Thomas - 
Chief Data & Analytics Office

 



How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent

Jennifer Lewis Priestley - Professor of Applied Statistics and Data Science

 


Plan to join your professional colleagues for five information-packed days in Las Vegas, May 31 - June 4, 2020

Register soon and be there for insightful keynote presentations, interactive workshops, actionable seminars, plus great networking opportunities.

 


 Testimonial

“An excellent conference with high-quality speakers, the right companies partnered, and overall a very knowledgable experience.”

Rainish Lalai
Senior Analytics Specialist
Etihad Airways (Abu Dhabi)


 

REGISTER before December 6 
for the SUPER EARLY BIRD price

 

PART OF MACHINE LEARNING WORLD (formerly Mega-PAW) – FIVE CONFERENCES IN ONE

PAW Business is part of Machine Learning World (formerly Mega-PAW) – with five (5) parallel conferences amounting to seven (7) tracks: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, and Deep Learning World.



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