Lecture 23: Introduction to Machine Learning

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: John Hull
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John Hull, a distinguished expert in derivatives and machine learning, shared his extensive journey from mathematics to applying machine learning in finance, emphasizing its transformative role in the current industrial revolution. He explained core machine learning concepts, including supervised, unsupervised, and reinforcement learning, illustrated with practical examples like neural networks for option pricing and reinforcement learning for decision-making, highlighting both theoretical foundations and real-world applications such as hedging strategies that reduce transaction costs and improve risk management.

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Post from MIT OpenCourseWare on December 03, 2025

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