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Deep Learning for ESG: Advances and Limitations

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

Tags

Deep Learning Courses Machine Learning Courses Transfer Learning Courses Transformer Models Courses

Course Description

Overview

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Explore recent advancements in natural language processing and their applications to Environmental, Social, and Governance (ESG) analysis in this 24-minute conference talk from the Toronto Machine Learning Series. Delve into the advantages of transformer models and transfer learning approaches for common ESG analysis problems. Examine the current limitations of deep learning technology in the ESG domain and identify areas where human involvement remains crucial. Gain insights from Alik Sokolov, Co-Founder and CEO of SR.AI, as he shares his expertise spanning finance, AI, and ESG investing, drawing from his experience in consulting, venture capital, and academic research.

Syllabus

Deep Learning for ESG Advances and Limitations


Taught by

Toronto Machine Learning Series (TMLS)

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