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David Betancourt, Ph.D.
David Betancourt, Ph.D.

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Published in Towards Data Science

·Nov 6, 2019

Deep Learning for High-Dimensional Time Series

Dimensionality Reduction, Embedding, Prediction — Time series data is prevalent in important applications such as robotics, finance, healthcare, and cloud monitoring. In these applications, we typically encounter time series with very high dimensions where the ML task is to perform classification for signal characterization, regression for prediction, or function approximation within a reinforcement learning agent.

Machine Learning

12 min read

Deep Learning for High-Dimensional Time Series
Deep Learning for High-Dimensional Time Series
David Betancourt, Ph.D.

David Betancourt, Ph.D.

Scientist working on decision-making under uncertainty for intelligent systems. Ph.D. in machine learning and uncertainty modeling from Georgia Tech.

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