Some talks and panels I’ve given throughout the years.
Demystifying quantum machine learning
At the Toronto Synthetic Intelligence Forum
What is quantum machine learning?
At Q-munity
Neural Networks
At the York University Applied Algebra Seminar
Navigating the AI Universe
Quantum generative modeling
Quantum generative modeling
At Open Data Science Conference (ODSC) West 2020
Panel on redefining tech through AI
Story telling through data
At Global Sake meets GoGlobal Event
Deep Neural Networks
At the USF Data Science Seminar
Deep Neural Networks with Tensorboard
At ODSC with Arpan Chakraborty from Udacity
Data Science: From machine learning to algorithm accountability
At Techqueria with Laura Gomez
Recommendation systems with matrix factorization
At LatinX in AI with Yannet Interian from USF
Machine learning and its applications to gaming
ELG Webinar with Bryan Wyman from the Innovation Group
The down operator and expansions of near rectangular Schur functions
At the KAIST Math Seminar in South Korea
