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Tuesday, October 16 • 3:00pm - 3:20pm
Unpredictable predictions of self-driving cars AI

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No matter how good your Machine Learning model is trained, the inference output space leaves a wide range for appearing irrelevant and unexpected results when real world gives a model an unforeseen challenge. Those error inferences may lead to accidental outcomes, there are notorious cases we all know. 
The solution is robust monitoring for the edge cases and implementing the Active Learning concept into businesses' AI/ML operations for those cases to be handled and learned.
The talk will be dedicated to practical solutions and their implementation into business operations.

avatar for Iskandar Sitdikov

Iskandar Sitdikov

ML/Software engineer, Hydrosphere.io
Iskandar Sitdikov is Hydrosphere.io ML engineer with rich practical background both in Machine Lerarning and Big Data fields. His latest tasks lie in the area of research and prototyping data anomalies and concept drifts detection methods in ML production.

Tuesday October 16, 2018 3:00pm - 3:20pm EDT
Deborah Sampson