The DataHour: Explainable AI - Need and Implementation
Today AI powered by ML is mainstream in several businesses across verticals. However there is skepticism in certain verticals on the power of ML to be able to perform complex tasks without a rationale of "Why is the ML model giving this result"?
This question haunts scenarios like a ML model taking decisions in credit cards in BFSI or taking decisions on cancer in Healthcare etc. To allow for answering such questions the area of Explainable AI (XAI) was introduced which is able to provide explanations for the decisions made by the ML model. In this DataHour, Neelima will provide a hands-on intro to XAI.
Prerequisites:Enthusiasm to learn Data Science.
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