data science
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
The performance of prediction models can be judged using a variety of methods and metrics. Some years ago, I was challenged to arrive at a set of rules that would provide both the analyst and marketer guidance as to how to evaluate results of a predictive modeling exercise. “What”- you ask-just look into a standard
Originally published in University of Chicago News, March 11, 2020 OI, Computer Science scholars collaborate on program to read cuneiform tablets. Twenty-five centuries ago, the “paperwork” of Persia’s Achaemenid Empire was recorded on clay tablets—tens of thousands...
Originally pubished in Medium, Sept 17, 2019. What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently....
By: Dr. Jennifer Lewis Priestley, Executive Director of Analytics and Data Science Institute, Kennesaw State University and Dr. Robert McGrath, Chair of Health Management and Policy,
University of New Hampshire
In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to...
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
While I have spent most of my career exploring and leveraging data science, and its associated rigorous analytics, only in the past decade or so have so many managers accepted the obvious- that data driven decision making...
By: Dr. Jennifer Lewis Priestley, Executive Director of Analytics and Data Science Institute, Kennesaw State University and Dr. Robert McGrath, Chair of Health Management and Policy,
University of New Hampshire
In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to...
Originally published in WeAllCount.com, January 17, 2020 Let’s say you are surveying 100 people out of 10,000. You want to analyze the data from your sample of 100 to get answers about the likely behaviors and preferences...
Dear Reader, As of the beginning of January 2020, it’s my great pleasure to join The Machine Learning Times as editor in chief! I’ve taken over the main editorial duties from Eric Siegel, who founded the...
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...
Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field. There are a few simple steps you can...
