Reinforcement Learning using Azure Cognitive Services

 
English Introductory AI & Machine Learning

Reinforcement learning (RL) is an area of machine learning (ML) concerned with how software agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning differs from supervised learning in not needing clean labelled input/output pairs be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). Azure now offers Personalizer, a new cloud based cognitive service that allows your application to choose the best experience to show to your users, learning from their collective real-time behavior.

Speaker

Patricio Cofre

EY Partner and Microsoft MVP

Master of Engineering Management, Northwestern University and Master of Engineering Sciences, Catholic University of Chile. Patricio has developed and led projects in analytics for various companies in Latin America. He has specialized in Data Lakes and Artificial Intelligence. Patricio is co-founder of Metric Arts, a Big Data and Analytics specialized firm, recently acquired by EY (Ernst and Young). He is also lecturer at the Catholic University of Chile, INCAE in Costa Rica and Florida University in USA. In 2016 Patricio was recognized as Microsoft Artificial Intelligence MVP and Regional Director.

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