Deep Learning for Time Series Forecasting, Anomaly Detection and Classification


Nov 15, 01:00 PM PST
  • Virtual AICamp
  • 239 RSVPs
Description
Deep learning has made impressive strides with respect to time series forecasting and classification. DL models have recently shattered time-series research benchmarks yet remain seldom used in the industry.

In this seminar, we will discuss how to use deep learning to forecast and classify real world time series datasets in healthcare, climate, and agriculture using Flow Forecast, a deep learning for time series framework built in PyTorch. We will also discuss some of the latest advances and cutting edge research in the time series field.

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