Krishna Sankar

Krishna Sankar
Distinguished Engineer - AI, U.S.Bank

Website | @ksankar

Krishna Sankar is a Distinguished Engineer − Artificial Intelligence & Machine Learning at U.S. Bank focusing on augmented intelligence, digital human as well as areas like AI explainability. Earlier stints include Senior Data Scientist with Volvo Cars, Chief Data Scientist at blackarrow.tv, Data Scientist/Tata America Intl, Director of Data Science/Bioinformatics startup & as a Distinguished Engineer/Cisco. He has been speaking at various conferences incl ML tutorials at Strata SJC & LONDON 2016, Spark Summit [goo.gl/ab30lD], Strata-Sparkcamp, OSCON, Pycon & Pydata, writes about Nash Equilibrium, Isaac Asimov and Robots Rules[goo.gl/5yyRv6 as well as has been guest lecturing at the Naval Postgraduate School. His occasional blogs can be found at https://medium.com/@ksankar
They include NeurIPS2018 — Conference Summary [https://goo.gl/VgeyDT], Deep Thinking by Garry Kasparov: The Education Of A Machine [https://goo.gl/9qv671] and Ask not if AlphaZero can beat humans in Go — Ask if AlphaZero can teach humans to be a Go champion [https://goo.gl/vPzN9B]. His other passions are semantic Go engines, flying Drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics – you will find him at the Detroit FLL World Competition as Robots Design Judge

Sessions

Data
Location: E145-146 Level: Intermediate
Krishna Sankar (U.S.Bank)
Average rating: **...
(2.33, 12 ratings)
Social media has become the true mirror of the society & no doubt, Twitter is silver behind the glass. An understanding of the underlying network models reflected by the tweets & associated metadata enables one to infer and predict. In this tutorial, we will derive domain metrics like Cliques and Brand Rank by applying SNA principles via Twitter APIs. Read more.

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