Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Inbal Tadeski

Inbal Tadeski
Data Scientist, Anodot


Inbal Tadeski is a data scientist at Anodot, a provider of real-time machine learning anomaly detection and analytics solutions for detection of business incidents. Previously, Inbal was a research engineer at HP Labs, where she specialized in machine learning and data mining. She holds an MSc in computer science with a focus on machine learning from Hebrew University in Jerusalem and a BSc in computer science from Ben Gurion University.


Machine Learning & Data Science
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Deep learning
Inbal Tadeski (Anodot)
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Inbal Tadeski demonstrates the importance of identifying relationships between time metrics so that they can be used for predictions, root cause diagnosis, and more. Inbal shares accurate methods that work on a large scale, such as behavioral pattern similarity clustering algorithms, and strategies for reducing FPs, FNs, and computational resources and distinguishing correlation and causation. Read more.