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IVADO Workshop

30 June 2020 @ 16h00 - 3 September 2020 @ 18h00

Language

This workshop will be given in English.

Description

The Fin-ML/IVADO Workshop is a practical training in machine learning, applied to concrete problems in investments, banking and insurance. Over each week, the workshop will consist of theory in one session, followed by a problem-solving session.

Target Audience

Master’s and PhD students and professionals with quantitative training who want to learn about new technologies in data science, machine learning and operations research, with examples applied to problems in investments, banking and insurance.

Prerequisites

Knowledge of Mathematics & Statistics (Linear Algebra, Probability and Information Theory, Numerical Computation), and Programming (ideally Python) is strongly recommended. The participants can familiarize themselves with Chapters 2 to 4 of the Deep Learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville (available online deeplearningbook.org)

Objectives

  • Introduce students and professionals to new technologies in machine learning, that are most relevant in the financial sector;
  • Develop an understanding of the challenges and issues of data science applied to investments, banking and insurance;
  • Learn to use computer tools to solve concrete problems;
  • Encourage interdisciplinary knowledge sharing.

Trainers

Organizers

  • Manuel Morales, Associate Professor, Université de Montréal, Director of Fin-ML
  • Rheia Khalaf, Director of Collaborative Research & Partnerships, Fin-ML

Registration

Professionals : $1300 + tx
Students : $500 + tx

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