Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Data-Driven Decisions for Law Enforcement in Toronto
 For today’s leading deep learning methods...
AI, Machine Learning, and the Basics of Predictive Analytics for Process Management
 APQC Chair Carla O’Dell interviews Predictive...
Data Reliability and Analytic Validity for Non-Dummies
 There is not much attention paid...
Overview of Mega-PAW Vegas 2018: Summary of Keynotes and More
  As both a speaker and...

data science

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We must analyze.  Hence, the term—what else? —“Big Data Analytics” (BDA). Yet in spite of the overwhelming need...

The Art of Data Science

 With much of the latest discussion focused on the latest techniques in machine learning  and in particular deep learning, the significant benefits of machine learning and deep learning are now a public reality. Yet,...

Mind Your Own Text: Public Data for Political Insights

 Who is your favorite president? Can Data Science aid in evaluating presidents and their policies? From the suburbs of Washington, D.C., our research group at George Mason University (Abhishek Kamath, Suyameendra Wadki, and Abhishek...

Machine Learning Tip: Nested Cross Validation – When (Simple) Cross Validation Isn’t Enough

 Several scientific disciplines have been rocked by a crisis of reproducibility in recent years . Not long ago, Bayer researchers found that they were only able to replicate 25% of the important pharmaceutical papers they...

Automation and Its Impact on Predictive Analytics – The Increasing Importance of the Hybrid-Part 3

 In my last article, I discussed the increasing impact of automation and its actual impact in creating the analytical file. As any data scientist knows, this component or stage of the data science process...

Using Machine Learning to Predict Value of Homes On Airbnb

 Originally published in Medium Introduction Data products have always been an instrumental part of Airbnb’s service. However, we have long recognized that it’s costly to make data products. For example, personalized search ranking enables...

Wise Practitioner – Predictive Analytics Interview Series: Anasse Bari, New York University

  Wall Street and the New Data Paradigm In anticipation of his upcoming conference presentation, Wall Street and the New Data Paradigm at Predictive Analytics World for Financial in New York, Oct 29-Nov 2,...

Data Science: Screening by Religion a Blunt Instrument for Security

 This commentary first appeared in the San Francisco Chronicle. Originally published as the cover piece for the Insight commentary section in the Sunday San Francisco Chronicle, this op-ed by Eric Siegel points out that,...

Wise Practitioner – Predictive Analytics Interview Series: Steve Weiss, at LinkedIn

In anticipation of his upcoming conference presentation, The Sprint for Teaching Data Science: LinkedIn Learning, Analytics and the New Era of Just-In-Time Skills Training at Predictive Analytics World for Business New York, Oct 29-Nov...

Wise Practitioner – Predictive Analytics Interview Series: Emilie Lavoie-Charland at The Co-operators

 In anticipation of her upcoming conference presentation, Which Predictive Model Will Best Help Increase Retention? at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Emilie Lavoie-Charland, Research & Innovation...

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