Explainable ML: Connecting Business Users with Data Science Deployments

30 March 2017 17:30 - 30 March 2017 19:30

Tech Nexus, (Conference Room C/D)20 N. Wacker Drive, Suite 1200, Chicago, IL, 60606

ABOUT DSAC

We are a group of passionate and interesting people, dedicated to discuss data science, data mining, machine learning, machine intelligence, deep learning, predictive analytics, artificial intelligence, big data analytics, NLP, statistical analysis and more.

ABOUT EVENT

The effectiveness of current AI systems is limited by the machine’s current inability to explain their decisions and actions to human users. Explainable machine learning will be essential for business users to understand, appropriately trust, and effectively manage intelligent machine agents. In this session, speaker will share his professional experience and discuss some of the current trends in explainable AI.

AGENDA

– Introduction
– Current ML algorithms and where they stand
– Deep Learning Explanations
– Probabilistic Program Induction
– And – Or – Templates
– Local Interpretable Model Agnostic Explanations
– Bayesian Rule Lists
– Strategy
– Q & A session

Register At – http://go.softwebsolutions.com/resources/connecting-people-with-data-science.html

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