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MinneBOS

Presented by MinneAnalytics. Hosted by Boston University Questrom School of Business.

9:30am EDT

To the Cloud! Large Scale Genomics Made Easy Room 306Jeff Gentry, MS Using Data Virtualization to Feed Your Analytical and ML Models Room 404Paul Moxon

10:30am EDT

Analyzing Massive Genomics Datasets using Apache Spark Room 306Frank Austin Nothaft , PhD

11:15am EDT

Harnessing Behavioral Data to Measure Impact and Predict Outcomes Room 306Andrew Jacobus, MBA Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model Exec Ed: 426, 428, 430Jeffrey Yau, PhD

1:00pm EDT

Feature Engineering in the Era of Deep Learning Room 406Bobby Brennan

2:00pm EDT

Memory Centric Computing for Fast, Smart Data Room 306Sharat Batra, PhD Unlocking Deep Insights From Unstructured Data Using Automated Data Labeling and NLP Exec Ed: 426, 428, 430Reza Olfati-Saber

3:00pm EDT

Using AI on Messy Text Data with Examples from the Medical Domain Exec Ed: 426, 428, 430Krishna Srihasam, PhD

3:45pm EDT

"Where Were You on the Night of the 7th When the Fifth Data Point Was Classified Positive?” Comparing a Few Methods for Interrogating Your Classifier Room 404Marc Light, PhD