Eric’s Enlightenment for Friday, June 5, 2015

  1. Christian Robert provides a gentle introduction to the Metropolis-Hastings algorithm with accompanying R codes.  (Hat Tip: David Campbell)
  2. John Sall demonstrates how to perform discriminant analysis in JMP, especially for data sets with many variables.
  3. Using machine learning instead of human judgment may improve the selection of job candidates.  This article also includes an excerpt from a New York Times article about how the Milwaukee Bucks used facial recognition as one justification to choose Jabari Parker over Dante Exum.  (Hat Tip: Tyler Cowen)
  4. “A hospital at the University of California San Francisco Medical Center has a robot filling prescriptions.”
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Presentation in Toronto on Friday, June 7, 2013: Discriminant Analysis – A Machine Learning Technique for Classification in JMP and SAS

Update: My presentation has been moved from 9:30 am to 10:50 am.  I have switched time slots with Justin Jia.  I will present from 10:50 – 11:20 am.

I will deliver a presentation entitled “Discriminant Analysis – A Machine Learning Technique for Classification in JMP and SAS” at the Toronto Area SAS Society (TASS) on Friday, June 7, 2013.  Discriminant analysis is a powerful technique for predicting categorical target variables, and it can be easily implemented in JMP and SAS.  I will give a gentle, intuitive, but not overly mathematical introduction to this technique that will be accessible to a wide audience of statisticians and analytics professionals from diverse backgrounds.

Eric Cai - Official Head Shot

Come to my next presentation at the Toronto Area SAS Society on Friday, June 7, 2013!

I have previously written about the educational and networking benefits of attending SAS user group events, which are completely free to attend.  Besides TASS, I have also attended the Toronto Data Mining Forum and the SAS Health User Group meetings.  I encourage you to even consider presenting at these meetings; check out my previous presentation on partial least squares regression.

You can find more information about the next meeting in this agenda, which also contains links to the registration web sites.  Note that there are 2 events – one in the morning, and one in the afternoon – so be sure to register for both if you wish to attend the entire day’s events.

Toronto Area SAS Society Meeting

Classic TASS: 9:00 am – 12:00 pm

Interfaces TASS: 1:30 pm – 3:45 pm

Friday, June 7th, 2013

SAS Institute (Canada) Inc.

280 King St. E5th Floor

Toronto, Ontario

A free breakfast is served in the morning, usually starting at 8:30 am.