Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

May 20, 2019

Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.