Alex Measure

Economist at the Bureau of Labor Statistics

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Economist at the Bureau of Labor Statistics

Alex Measure is an economist at the Bureau of Labor Statistics and co-leader of the BLS DataScience User’s Group. His work focuses on using machine learning and natural language processing techniques to automate difficult information processing tasks including text classification, information extraction, record matching, and error detection

 

Classifying Text With Neural Networks

Six years ago BLS staff read and manually classified hundreds of thousands of written descriptions of work-related injuries and illnesses each year. Today, more than 85% of these classifications are assigned by a deep neural network that is more accurate, on average, than trained human workers. In this presentation, Alex will discuss how BLS addressed some of the many challenges inherent in this transition including how to build these systems, how to decide when and how to use them, and how to monitor and maintain them to continually improve performance.

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Predictive Analytics and Data

One of the seven patterns of AI, predictive analytics is being used in many areas of government to help humans make better decisions. Some examples of this pattern being applied include assisted search and retrieval, predicting some future value for data, predicting behavior, predicting failure, giving advice, and intelligent navigation. The idea is that it helps to make better decisions, providing augmented intelligence capabilities. Machine learning is what is helping to make the decision, adapting over time to provide better results.In this panel we’ll explore how various agencies are successfully applying the predictive analytics pattern of AI.

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