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ML Draft

教学计划

序号	主题	时间	Slides
1	Introduction
1	Shallow Learning
1	Deep Learning
1	Reinforcement Learning
1	Big Data & ML
1	Empirical Asset Pricing & ML
1	Causal Inference & ML
1	LLMs & Agents
1	A Brief Introduction to ML	wk1	L01-introduction-slides
2	Shallow Learning Algorithms	wk2-wk3	L02-regression-slides L03-classification-slides L04-trees-and-ensemble-learning-slides L05-unsupervised-learning-slides
3	Deep Neural Networks	wk4	L06-deep-learning-I-slides, L06-Deep-Learning-II-slides
4	Literature Studies	wk5-wk8	Presentation Schedule
5	MDP & Reinforcement Learning	by yourself	L07a-MDP-slides L07b-RL-slides
6	SP1: Machine Learning & Asset Pricing & Financial Bigdata	by yourself	NBER Working Paper: Financial Machine Learning
7	ST2: Machine Learning and Causal Inference	by yourself	NBER SI 2015 Methods Lectures - Machine Learning for Economists 2018 AEA Continuing Education Webcasts: Machine Learning and Econometrics (Susan Athey, Guido Imbens) Machine Learning & Causal Inference: A Short Course