Open asinga1982 opened 4 years ago
Please have a look @shagunsodhani.
Thanks for proposing the talk @asinga1982 :) Could you please ping me once you have added the link to the slides.
Removing assignment for now. Feel free to add me once the slides are in :)
Abstract (2-3 lines) Most of the ML models are limited to finding relationships between variables. In short models are not able to differentiate correlation and causation. Human being's ability to differentiate correlation from causation is the core reason for their intelligence. How can machines scale to that level of intelligence?
Brief Description and Contents to be covered Causal Models, Probabilistic Graphical Models, Bayesian networks.
Pre-requisites for the talk Basic knowledge about Modelling.
Time required for the talk 30 Mins.
Link to slides I have a large set of slides, need to filter and prepare a relevant pitch.
Will you be doing hands-on demo as well? I will show some model outcomes but not hands-on.
Link to ipython notebook (if any)
About yourself Data Science Practice Lead, Nagarro. I spoke at PyData 2019 delhi event.
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Sure
Any query ?