By: Eric Siegel, Founder, Predictive Analytics World & Executive Editor, The Predictive Analytics Times
Do you know what p-hacking is? John Oliver – of HBO’s “Last Week Tonight” and formerly of “The Daily Show with Jon Stewart” – does. It’s a tricky, potent analytical pitfall that’s gaining increased, deserving attention – across fields of science and even within Predictive Analytics Times articles and Predictive Analytics World sessions. (more…)
By: Jim Sterne, Founder, The eMetrics Summit
Book review originally published in the journal Applied Marketing Analytics Eric Siegel’s book, ‘Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die’ gets its subtitle from the many ways statistical prognostication has been...
By: J. Bryan Bennett
Originally published at www.linkedin.com
I attended Predictive Analytics World in Chicago the week of June 20 to June 23. I met a lot of new people and was reacquainted with several other colleagues. As I listened to 2 days of workshops...
By: Brittany Pugh, Data Scientist, Elder Research, Inc.
The field of Data Science is booming, yet comparatively few women are entering it. Why? What are the obstacles and opportunities facing them if they do? The path to change is challenging, but as a woman who...
In anticipation of his upcoming conference presentation, Deep Learning in Cloud Based Applications at Predictive Analytics World Chicago, June 20-23, 2016, we asked Tanay Chowdhury, Associate Data Scientist at Zurich North America, a few questions about his...
By: Richard Boire, Senior Vice President, Environics Analytics
What is Feature Engineering One of the growing discussions and debates within the data science community is the determination of inputs or variables that should be included in any predictive analytics algorithm. This type of process is...
By: Pasha Roberts, Chief Scientist & Co-founder, Talent Analytics, Corp.
Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is quite similar. Businesses want to predict who, when, and why employees...
In anticipation of their upcoming conference co-presentation, Enhancing search results relevance using Word2Vec Language Models at Text Analytics World Chicago, June 21-22, 2016, we asked Pengchu Zhang, Computer Scientist at Sandia National Laboratories, and John Herzer, Enterprise...
In anticipation of his upcoming conference presentation, Using Predictive Analytics to Optimize Organizational KPI’s: A Panel Market Research Case Study at Predictive Analytics World Chicago, June 20-23, 2016, we asked Thomas Schleicher, Sr. Director, Measurement Science at...
By: Greta Roberts, CEO, Talent Analytics, Corp.
Program Chair: Predictive Analytics World – for Workforce
Corp recruiters have a very important and difficult job. They predict who will be a top performer in certain roles and protect against non-performers getting inside the business ecosystem. We rely on their ability to make constant...
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