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Uncertainty in deep learning - Madhu Gopinathan, Vice President, Data Science At MakeMyTrip

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Abstract How do you deal with uncertainty when making decisions? Presumably, you would collect more information to reduce the uncertainty before making a decision. Now, think about the outputs of deep learning models which can be used to make automated decisions. How will you get uncertainty estimates for these outputs? In this talk, we will focus on quantifying model uncertainty based on recent research and discuss potential applications of the uncertainty estimates. Madhu Gopinathan is currently Vice President, Data Science at MakeMyTrip, India’s leading online travel company. He has extensive experience in developing large scale systems using machine learning and natural language processing in both the Bay Area, USA and India. He has been granted multiple US patents, holds a PhD in the mathematical modeling of systems from the Indian Institute of Science, Bangalore and an MS in computer science from the University of Florida, Gainesville, USA.
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