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Daily Archives: April 19, 2019

Problem of the Week: Missing Data

Question: You have a supervised learning task with 30 predictors, in which 5% of the observations are missing.  The missing data are randomly distributed across variables and records. If your strategy for coping with missing data is to drop records with missing data, what proportion of the records will be dropped?  Is the assumption ofContinue reading “Problem of the Week: Missing Data”

Student Spotlight: Barry Eggleston

Barry Eggleston is a health research statistician who has worked on both clinical trials and observational studies, and is currently with RTI in North Carolina. In his early career, his work was solely designing and analyzing clinical trials using typical biostatistics methods ranging from t-test to survival analysis and mixed models. After moving to RTIContinue reading “Student Spotlight: Barry Eggleston”

A Deep Dive into Deep Learning

On Wednesday, March 27, the 2018 Turing Award in computing was given to Yoshua Bengio, Geoffrey Hinton and Yann LeCun for their work on deep learning. Deep learning by complex neural networks lies behind the applications that are finally bringing artificial intelligence out of the realm of science fiction into reality. Voice recognition allows youContinue reading “A Deep Dive into Deep Learning”