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The Role of Alternative Data in Investing

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Data Science Courses Machine Learning Courses Algorithmic Trading Courses Financial Markets Courses Investment Analysis Courses

Course Description

Overview

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Explore the potential and challenges of applying alternative data to quantitative equity strategies in this 35-minute Toronto Machine Learning Series (TMLS) conference talk. Delve into case studies highlighting the advantages of alternative data in investing, and examine its promise in quantitative equity strategies. Discover the unique challenges of working with alternative data through the lens of Delphia's machine learning-driven long-short equity market neutral strategy. Led by Serena McDonnell, Lead Data Scientist at Delphia, gain valuable insights into the evolving landscape of data-driven investment approaches and their impact on the financial industry.

Syllabus

The Role of Alternative Data in Investing


Taught by

Toronto Machine Learning Series (TMLS)

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