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Data Project Checklist

 Originally published in Fast.ai, January 7, 2020. As we discussed in Designing Great Data Products, there’s a lot more to creating useful data projects than just training an accurate model! When I used to do consulting, I’d always seek to understand an organization’s context for developing data projects, based on these considerations: Strategy: What is

How Our Primary Model Works

 Originally published in FiveThirtyEight, January 9, 2020 Here at FiveThirtyEight, we’ve never built a complete back-to-front model of the presidential primaries before. Instead, in 2008, 2012 and 2016, we issued forecasts of individual primaries and caucuses on...

The 4 Hottest Trends in Data Science for 2020

 Originally published in Towards Data Science, January 8, 2020 2019 was a big year for all of Data Science. Companies all over the world across a wide variety of industries have been going through what people are...

The Problem with Hiring Algorithms

  Originally published in EthicalSystems.org, December 1, 2019 In 2004, when a “webcam” was relatively unheard-of tech, Mark Newman knew that it would be the future of hiring. One of the first things the 20-year old did,...

5 Statistical Traps Data Scientists Should Avoid

 Originally published in KDnuggets, October 2019. Fallacies are what we call the results of faulty reasoning. Statistical fallacies, a form of misuse of statistics, is poor statistical reasoning; you may have started off with sound data, but...

Why Machine Learning at the Edge?

 Originally published in SAP Blogs, October 16, 2019. For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, May 31-June 4, 2020.   Machine learning algorithms, especially deep learning...

Machine Learning & SEO: Where Are We Now?

 Originally published in DigitalDoughnut, October 25, 2019 For many in the SEO world, the idea of machine learning influencing the industry is making substantial waves. The technology inevitably promises to alter the way in which business is...

How to Leverage Predictive Analytics for Employee Retention

 Originally published in TechRepublic, November 7, 2019. Competition for skilled tech workers is fierce, so a new program actually predicts when an employee is considering resignation, and how you can implement retention. Crystal balls, fortune cookies and...

How Machine Learning Pushes Us to Define Fairness

 Originally published in Harvard Business Review, November 6, 2019. Bias is machine learning’s original sin. It’s embedded in machine learning’s essence: the system learns from data, and thus is prone to picking up the human biases that...

A.I. Is Learning From Humans. Many Humans.

 Originally published in The New York Times, August 16, 2019. BHUBANESWAR, India — Namita Pradhan sat at a desk in downtown Bhubaneswar, India, about 40 miles from the Bay of Bengal, staring at a video recorded in...

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