Dr. Brett Wujek is a Principal Data Scientist with the Artificial Intelligence and Machine Learning division in SAS R&D. He helps evangelize and guide the direction of advanced analytics development at SAS, particularly in the areas of machine learning and data mining. His formal background is in design optimization methodologies, receiving his PhD from the University of Notre Dame for his work developing efficient algorithms for multidisciplinary design optimization.
The new method tackles the challenge of missing features under the multi-task learning framework. The proposed method is effective for prediction and model estimation when missing data is present.
Have you been in your attic lately? Or maybe cleaned out that closet that all of your “stuff” seems to gravitate to? Sure, mostly you’ll just find old junk that is no longer useful or purely nostalgic, but every once in a while you come across those long lost treasures
I’ve often heard people say about weather forecasters “they have the best job…they just report what the models are telling them, and when they’re wrong they can always blame it on Mother Nature throwing us a curve.” While that’s true, this glass-half-empty crowd is failing to appreciate how amazing the
