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Data Science: How Regulators, Professors and Practitioners are Getting it Wrong

“Underpinning many published scientific conclusions is the concept of ‘statistical significance,’ typically assessed with an index called the p-value. While the p-value can be a useful statistical measure, it is commonly misused and misinterpreted.”  ASA Statement on Statistical Significance and p-Values If you’ve ever heard the words “statistically significant” or “fail to reject,” then you […]

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Five Data Visualizations for more Accurate, Explainable Models: Part 1, The Histogram

Data visualizations are fundamental tools of the data scientist as you try to understand your data for the purpose of building predictive models. Visualizations can help you sanity check your data, verify your results, improve and understand your models, and even get started building models faster. One of the most basic, but most powerful, data visualization techniques […]

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Is Watson IBM’s Mainframe Moment?

I like to think of IBM as the company that wouldn’t hire me in 1986 and not the one I walked away from in 2015. In the eighties, IBM were still basking in the glory of their System/360 launch some two decades earlier. This was one of the most successful global product launches in history […]

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When you Have the Right Data in the Wrong Format

April 13, 2017

“Most of the evil in this world is done by people with good intentions.” -TS Elliott I recently spent several days fixing a dataset that someone had clearly spent many hours putting together. The data source was from a Stanford study called “How Couples Meet and Stay Together” and can be found here.  This publicly […]

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How DataRobot is Making Fintech Prediction a Team Sport

April 12, 2017

by Justin Dickerson, General Manager – Fintech at DataRobot I have a unique perspective on fintech predictions and projecting outcomes in this area. I was once a Chief Data Scientist for a merchant cash advance company. In that role, I was responsible for predicting payment defaults. When I first took the job, we would underwrite […]

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Did Big Data Cause United Airlines to Drag a Screaming Passenger Off a Plane?

by Greg Michaelson, Director of DataRobot Labs As a frequent traveler, I have seen some of the logistical challenges involved with running an airline — on a micro-scale.  I fly several times per month for work, and I’m a part of the reason that things are so complicated. Inevitably, meetings end early or run late, […]

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Enabling Tomorrow’s Business Analysts with Predictive Analytics: Part Two

Thanks to Dr. Kai R. Larsen, Associate Professor of Information Management, University of Colorado, for contributing this two-part guest blog. WEBINAR: From Raw Data to Predictions at S&P Global Part 2: Taking Advantage of DataRobot and Alteryx to Overcome Barriers to Success As I laid out in Part 1 of this blog, being a university professor […]

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Enabling Tomorrow’s Business Analysts with Predictive Analytics: Part One

Thanks to Dr. Kai R. Larsen, Associate Professor of Information Management, University of Colorado, for contributing this two-part guest blog. WEBINAR: From Raw Data to Predictions at S&P Global Part 1: Addressing the Challenges and Complexities Inhibiting Business Users’ Adoption of Predictive Analytics Predictive analytics is reshaping business and society. Our very perception of reality […]

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