Beyond Guess on Big Data: Interpretable Styles for sophisticated Time period Combination of

Presentation by Emily Fox, Amazon Professor of Machine Learning, UW at the 2018 GeekWire Cloud Tech Summit:

Most of the recent success stories in machine learning involve a clear prediction goal combined with a massive (benchmark) training dataset. However, many practical machine learning problems do not fit this mold. In this talk, I am going to focus primarily on learning from time-series data, discuss some open challenges beyond prediction, and present paths forward to handle limited data scenarios and notions of interpretability in deep learning models.
Video Rating: / 5

Schreibe einen Kommentar

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert.