Author of “Everybody Lies” to Speak at Predictive Analytics World NYC
The author of "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us ..." will be featured speaker at PAW NYC, Oct 29 - Nov 2. KDnuggets readers get special discount.
Predictive Analytics World New York - KDnuggets subscribers receive $150 off passes.
Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at The Wharton School, and a former Google data scientist. He holds a PhD in economics from Harvard.
Stephens-Davidowitz's book is a white-hot new bestseller — PAW Founder Eric Siegel reviewed it:
Perfectly crafted and fully engrossing, Everybody Lies delivers a fresh overview of big data with an emphasis on the intriguing insights revealed by Google search trends. These trends, combined with other organic online resources, are an embarrassment of riches within which to unearth sociological insights. The book also draws a new perspective on the power and peril of deployed machine learning (calling it "doppelgänger discovery"), as well as the ever-important pitfall of p-hacking (referring to it as "the curse of dimensionality"). The book wraps up with a hilarious and poignant conclusion at the very end, whereby the author himself practices what he's been preaching throughout.
At PAW New York this October, Stephens-Davidowitz will present on "The Limits of Surveys and the Power of Google Search Data."His session will cover how to use Google searches to get new insights into people. He will discuss public tools available for researchers, how to find important insights, and potential pitfalls in using search data. The talk will address a range of topics, including marketing, psychology, and economics.
The speaker has also agreed to a scheduled book signing in the PAW exposition hall. Bring your questions and come to PAW to meet Dr. Stephens-Davidowitz in person.
— About PAW Business:
Predictive Analytics World is the place to learn about machine learning and predictive analytics. Join your peers at PAW Business New York's rich program of brand name case studies and industry leaders. The event program will include tracks on these topics:
BUSINESS: Analytics strategy & operationalization — Project management, project leadership, and organizational process
MARKETING: Marketing & market research analytics —Machine learning applications such as targeting customer acquisition, optimizing retention, and uplift modeling
MORE CASE STUDIES: Varied business applications — Examples from the front lines, where deployed machine learning taps into the most powerful value propositions, across business functions
Co-located events: PAW Financial &
PAW Healthcare. This PAW Business event is held alongside PAW Financial and PAW Healthcare; financial services focused and healthcare focused sessions will be located there. Available cross-registration options provide you the opportunity to attend sessions at all events.
