Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Ira Cohen

Ira Cohen
Cofounder, Chief Data Scientist, Anodot

Website | @IraIracohen

Ira Cohen is a cofounder and chief data scientist at Anodot, where he’s responsible for developing and inventing the company’s 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.


12:0512:45 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 17
Arun Kejariwal (Independent), Ira Cohen (Anodot)
Average rating: ****.
(4.00, 5 ratings)
Sequence-to-sequence modeling (seq2seq) is now being used for applications based on time series data. Arun Kejariwal and Ira Cohen offer an overview seq2seq and explore its early use cases. They then walk you through leveraging seq2seq modeling for these use cases, particularly with regard to real-time anomaly detection and forecasting. Read more.