Who says machine learning can't be fun? A crew of us from SAS went to San Francisco for the recent KDD conference, which bills itself as "a premier interdisciplinary conference, [which]brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data." We brought
The internet of medical things, spurred by the advent of wearable sensors, has dramatic consequences in industry, healthcare, and analytics, just as the advent of the internet of things and analytics has consequences in education. When I began my internship at SAS in May, I knew little about the internet of
Time series machine learning techniques show great promise for the analysis of health care wearable data. As our busy lifestyles render continuous monitoring more and more essential, the need to analyze data to find correlations between these data streams becomes even more important, because they can provide important cues to
"I've seen the future of data science, and it is filled with estrogen!" This was the opening remark at a recent talk I heard. If only I'd seen that vision of the future when I was in college. You see, I’ve always loved math (and still do). My first calculus
My view of the world is shaped by where I stand, but from this spot the future of analytics for 2016 looks pretty exciting! Analytics has never been more needed or interesting. Machine learning established in the enterprise Machine learning dates back to at least 1950 but until recently has
Ok, so the title is a little provocative, but some people are dubious that data science training is even possible, because they believe data science entails skills one can learn only on the job and not in a classroom. I am not in that camp, although I do believe that data
Because finding analytical talent continues to be a challenge for most, here I offer tips 5, 6, and 7 of my ten tips for finding data scientists, based on best practices at SAS and illustrated with some of our own “unicorns.” You can read my first blog post for why they
SAS will again be participating in the Allied Social Science Association annual meetings in January. This year the event will be held in Boston, and conference organizers expect more than 12,000 participants from a variety of backgrounds, including economics, finance and many other social sciences. One of the primary functions
Finding people with the range of skills classified as data science can be a challenge, which is why some call them unicorns (do they really exist?), so I recently posted ten tips on finding unicorns. In my first post I elaborated on tips 1 and 2 (1. hire from an
As this article on the mythical data scientist describes, many people call this special kind of analytical talent "unicorns," because the breed can be so hard to find. In order to close the analytical talent gap that McKinsey Global Institute and others have predicted, and many of you experience today, SAS launched
