data science
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 of the overall 10,000 person population. Part of your project focuses on equity among sexual orientations. You don’t
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...
Originally published by Harvard Business Review With today’s high demand for data scientists and the high salaries that they command, it’s often not practical for companies to keep them on staff. Instead, many organizations work to...
By: Bill Luker Jr, PhD
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...
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, machine learning in...
By Feras A. Batarseh, George Mason University
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 Madhusudhan) have developed...
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 examined , and an...
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 can typically represent...
