Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Michael Johnson

Michael Johnson
Data Scientist, Lockheed Martin

Michael Johnson is a senior data scientist at Lockheed Martin. He has done data science and analytics in fields including manufacturing optimization, semiconductor reliability, and human resources-focused time series forecasting and simulation. He has recently been focused on how to apply cutting-edge deep learning algorithms to NLP domains.

Sessions

11:50am12:30pm Wednesday, March 27, 2019
Michael Johnson (Lockheed Martin), Norris Heintzelman (Lockheed Martin)
Average rating: ****.
(4.60, 15 ratings)
How do you train a machine learning model with no training data? Michael Johnson and Norris Heintzelman share their journey implementing multiple solutions to bootstrapping training data in the NLP domain, covering topics including weak supervision, building an active learning framework, and annotation adjudication for named-entity recognition. Read more.