本次讲座会介绍机器学习和深度学习在金融市场中的应用。讲座分为两部分。第一部分讲解一些在金融建模中常用的机器学习和深度学习模型。第二部分演示如何使用Python编程语言实现这些模型。
Thomas Li 数学博士毕业于 Courant Institute。他的研究兴趣包括随机控制与优化、最优传输、数值分析以及机器/深度学习。
https://zoom.us/j/96359865417?pwd=qzFPphdRRLuh3eRN3KCHIEsoJf2IQN.1
Meeting ID: 963 5986 5417
Passcode: 112233
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讲座：Apply Machine Learning and Deep Learning in Financial Markets
Time: Sunday, Feb 9, 2025 8:30PM EST
Speaker: Thomas Li (Math Ph.D.)
Zoom: https://zoom.us/j/96359865417?pwd=qzFPphdRRLuh3eRN3KCHIEsoJf2IQN.1
This seminar discusses the implementation of machine learning and deep learning in financial markets. The seminar consists of two parts. The first part introduces a few commonly used machine learning and deep learning models in financial modeling. The second part demonstrates how to implement these models using the Python programming language.
Dr. Thomas Li completed his Ph.D. in mathematics at the Courant Institute. His research interests include stochastic control and optimization, optimal transport, numerical analysis, and machine/deep learning.
