Learning the Learner: Using Machine Learning to Monitor … Machine Learning?
Anodot Chief Data Scientist Dr. Ira Cohen presents how the AI analytics company devised a way to intelligently monitor the performance of highly complex, unsupervised machine learning models with a “learning the learner” approach at O’Reilly’s Artificial Intelligence Conference in San Francisco.
O’Reilly’s AI Conference is where cutting-edge science meets new business implementation. It’s a deep dive into emerging AI techniques and technologies, with a focus on how to use it in real-world implementations.
Presented by Dr. Ira Cohen
Dr. Ira Cohen co-founded Anodot and serves as the company’s chief data scientist, where he develops and invents real-time multivariate anomaly detection algorithms capable of analyzing millions of time series signals. He holds a Ph.D in machine learning from the University of Illinois at Urbana-Champaign and has more than 12 years of industry experience.