Machine Learning: An Introduction to the World of Data Science

#machine #learning #data #science

Are you curious about Machine learning? Are you starting a career in this field? Or are you making your first steps and need more clarifications? This event is for you!




Êtes-vous curieux de connaître l'apprentissage automatique (Machine Learning)? Vous commencez une carrière dans ce domaine? Ou faites-vous vos premiers pas et avez besoin de plus de précisions? Cet événement est pour vous!

  Date and Time




  • Date: 18 Mar 2021
  • Time: 12:00 PM to 02:30 PM
  • All times are (GMT-05:00) US/Eastern
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  • Starts 08 March 2021 12:35 PM
  • Ends 18 March 2021 01:35 PM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


Jhon Hall


John Hull is the Maple Financial Professor of Derivatives and Risk Management at the Joseph L. Rotman School of Management, University of Toronto. He was in 2016 awarded the title of University Professor (an honor granted to only 2% of faculty at University of Toronto.) He is an internationally recognized authority on derivatives and risk management and has many publications in this area. His work has an applied focus. His areas of research have included the impact of stochastic volatility on the pricing and hedging of options, the valuation of interest rate derivatives and credit derivatives, the calculation of value at risk, the evaluation of model risk, the regulation of financial institutions, and machine learning. He was, with Alan White, one of the winners of the Nikko-LOR research competition for his work on the Hull-White interest rate model, which is widely used by practitioners. In 1999 he was voted Financial Engineer of the Year by the International Association of Financial Engineers. He has acted as consultant to many financial institutions throughout the world and has won many teaching awards, including University of Toronto's prestigious Northrop Frye award.

He has written four books: “Risk Management and Financial Institutions” (now in its 5th edition); "Options, Futures, and Other Derivatives" (now in its 10th edition); "Fundamentals of Futures and Options Markets" (now in its 9th edition); and “Machine Learning in Business: An Introduction to the World of Data Science” (now in its second edition). The books have been translated into many languages and are widely used by practicing managers as well as in the classroom.

Dr. Hull is academic director of FinHub (Rotman’s Financial Innovation Lab) and co-director of Rotman’s Master of Finance and Master of Financial Risk Management programs. In addition to the University of Toronto, Dr. Hull has taught at York University, University of British Columbia, New York University, Cranfield University, and London Business School.


  • Introduction: types of machine learning models, importance of validation and testing
  • Neural networks: the design and analysis of a plain vanilla network, extensions of the idea
  • Reinforcement learning: the set up, Monte Carlo methods vs. temporal difference models, examples and applications 

Join the IEEE ETS Student Branch’s upcoming event entitled ‘Machine Learning: An introduction to the world of data science’ and presented by Prof.John Hull. Do not forget to mark your calendar for March 18th, 2021, to get a step closer to mastering the field of machine learning.