Patrick Hall was the 11th person worldwide to become a Cloudera certified data scientist. He designs new data mining and machine learning technologies for SAS. Talk to him about data on Twitter, Linkedin, or Quora.
If you turned in for my recent webinar, Machine Learning: Principles and Practice, you may have heard me talking about some of my favorite machine learning resources, including recent white papers and some classic studies. As I mentioned in the webinar, machine learning is not new. SAS has been pursuing
Even though the first papers in machine learning were in the 1950s, one could argue it goes back further to the work of Alan Turing and other early computer scientists. So why has this way of modeling seemingly become so popular now? Because data has become a commodity. Large amounts of many different
Machine learning is moving into the mainstream. Once the sole purview of academic researchers and advanced technology firms, machine learning is now being is used by many companies in more traditional industry verticals. Machine learning uses mathematical (not necessarily statistical) models to learn about data. In this context, learning about
Right now I’m crossing the Pacific toward Australia and New Zealand for the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (a.k.a. KDD), a Data Science Melbourne MeetUp, and the SAS Users of New Zealand conference. New Zealand is the birthplace of open source R. So this trip
