Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Moritz Hardt

Moritz Hardt
Research Scientist, Google

Website | @mrtz

Moritz Hardt is a senior research scientist at Google Research, where his mission is to build the theory and tools that make machine learning more reliable. After obtaining a PhD in computer science from Princeton University, Moritz spent three years at IBM Research Almaden prior to joining Google.

Sessions

9:05am–9:30am Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Moritz Hardt (Google)
Average rating: ****.
(4.31, 13 ratings)
Moritz Hardt outlines a reusable holdout method, which can be used many times without losing the guarantees of fresh data. Moritz also explains how to design reliable machine-learning benchmarks for a number of applications such as data science competitions and hyperparameter tuning. Read more.