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III Cell : Probabilistic evaluation for expert system”, by Mr. Sanket Joshi

Name of eventGuest lecture by industry expert on “Probabilistic evaluation for expert system”, by Mr. Sanket Joshi sir
Date/Time /Venue5th Dec’2020 /12 to 2pm/Google meet
Event coordinator/
contact person
Faculty Coordinator: Ms. Pooja Walke
Student Coordinator: Saish Adlak
Resource Person and Designation with 
contact details
 Mr. Sanket Joshi, Data Scientist, Logicunlock Solution LLP, Nagpur. Mob – 9011680224
Target audience7th sem students. Total –
  ObjectivesTo give real-world knowledge related to Artificial Intelligenceto understand upcoming trends in the IT industry related to AI domain.
         Description of eventData Scientist, Mr. Sanket Joshi from Logicunlock Solutions LLP, was invited as Session Expert on ‘Artificial Intelligence’, by the Department of Information Technology on 5th December, 2020, at 12:15 noon through Google meet . Mr. Joshi covered various topics of Artificial Intelligence which include Probabilistic Evaluation for the Expert System, Probability: Multiple Random Variable, Joint Probability, Marginal Probability, Conditional Probability. Session also included some other topics like Independence and Sequential Independence, Bayes Theorem, and Dempster – Shafer Theorem. Mr. Joshi with real-life examples and scenarios shared his work with students to make them understand the actual implementation and usage of the terms. The question-answer session was interesting and helped students to clear their doubts. The session was attended by37 Fourth Year students and was organized by IIICell Department Coordinator Prof. Pooja Walke.