Jeremy Achin - DataRobot

Starts: 4:00 pm on Thursday, February 27, 2014
Ends: 5:00 pm on Thursday, February 27, 2014
Location: MCS 148

Title: Applied Data Science: Extracting Maximum Value from Real-World Data. Abstract: This talk is about extracting maximum value from the real-world data using modern statistical and machine learning techniques. Real-world data is diverse, messy, and spread out across many data sources. Extracting maximum value equates to using the data to make the most accurate predictions possible on out-of-sample examples. The talk will focus on a single case study in which we predict diabetes in undiagnosed patients using their medical records. The dataset comes from a Kaggle competition sponsored by Practice Fusion: