A Practitioner’s Overview to Data Mining Models and Methods
Over the past few years the proliferation of applied computational methods has grown considerably, likely due to the decreased cost of data storage, increase in computer power, and evolution of programming languages such as R and Python to solve data-centric problems. For someone new to data science it can be daunting to determine where to start or where to go next. This presentation will provide an overview to data mining, what it is and isn’t, and where it fits into the general category of machine learning. While the focus will be on predictive analytics, unsupervised learning methods will be discussed briefly.
Our speaker is Don McCormack, Principle Systems Engineer at JMP Statistical Discovery arm of SAS where he collaborates with software engineers to develop interactive and extensible tools for visual data exploration. Don has been a practicing statistician for over 20 years, he came to JMP from Amgen, one of the world’s largest biotechnical companies, where he was a Senior Quality Engineer. Earlier, he conducted semiconductor research at SEMATECH and specialized in statistically designed experiments.
Don holds a B.S. degree from Rensselaer Polytechnic Institute and Master’s degrees in Education and Statistics from the University of Texas at Austin as well as over 90 hours of coursework in statistics and operations research beyond the Master’s level. Has authored or co-authored articles in Quality Engineering, Technometrics, the Journal of Petroleum Technology, and Semiconductor International.
Free for first 70 ASQ members, and 20 Non-ASQ Members
After that general registration $10 for remaining seats.
Please note we have been running out of the free tickets lately so early registration is recommended.
Date: February 13, 2019
- 6:00 – 6:30 PM – Networking Time/ Snacks
- 6:30 – 6:45 PM – Announcements
- 6:45 – 7:45 PM – Talk
- 7:45 – 8:00 PM – Door Prizes
Building C – Room 1s13/14/15
11500 N Mopac Expressway,
Austin TX 78759
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