Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Ira Cohen

Ira Cohen
Cofounder and Chief Data Scientist, Anodot

Website | @IraIracohen

Ira Cohen is a cofounder of Anodot and its chief data scientist, where he is responsible for developing and inventing its real-time multivariate anomaly detection algorithms that work with millions of time series signals. He holds a PhD in machine learning from the University of Illinois at Urbana-Champaign and has over 12 years of industry experience.

Sessions

9:059:30 Tuesday, 23 May 2017
Hardcore Data Science
Location: London Suite 2/3
Secondary topics:  IoT, Streaming
Level: Intermediate
Ira Cohen (Anodot)
Average rating: *****
(5.00, 4 ratings)
Identifying the relationships between time series metrics lets them be used for predictions, root cause diagnosis, and more. Ira Cohen shares accurate methods that work on a large scale (e.g., behavioral pattern similarity clustering algorithms) and strategies for reducing FPs and FNs, reducing computational resources, and distinguishing correlation and causation. Read more.