機器學習課程概述、基本概念 Introduction to Machine Learning
基於感知器的監督學習Supervised learning via Perceptrons
對數機率回歸Logistic Regression
非線性特徵與核方法Nonlinear features and Kernels
回歸概論Regression
神經網絡導論Neural Nets, Introduction
神經網絡優化Neural Networks, Optimization
無監督學習：聚類，混合模型，EM Unsupervised learning: clustering, mixture models, EM
推薦系統Recommender Systems
機器學習與數據科學Machine Learning in Data Science
人工智慧時代的市場營銷策略 Machine Learning in Marketing
機器學習與個性化設置-靜態設置Machine Learning and Personalization –Static Setting
機器學習與個性化-動態設置Machine Learning and Personalization –Dynamic Setting
機器學習和個性化–行為和經濟見解 Machine Learning andPersonalization – Behavioral and Economic Insights
機器學習與金融科技Machine Learning in Fin-Tech
定量投資與統計測量1/2/ Quantitative investment in Statistical Measurement 1/2/
商業分析定量投資導論Introduction to Quantitative Investment with Business Analysis
商業分析定量投資的應用1/2 Application: Quantitative Investment with Business Analysis 1/2
人工智慧驅動的股票價格分析AI-Driven Stock Price Analysis-the rise of the quants 1/2
機器學習課程概述、基本概念Introduction to Machine Learning
基於感知器的監督學習Supervised learning via Perceptrons
對數機率回歸Logistic Regression
非線性特徵與核方法Nonlinear features and Kernels
回歸概論Regression
神經網絡導論Neural Nets, Introduction
神經網絡優化Neural Networks, Optimization
無監督學習：聚類，混合模型，EM Unsupervised learning: clustering, mixture models, EM
推薦系統Recommender Systems
深度學習課程概述、基本概念 Introduction to Deep Learning
神經網絡和卷積處理Neural Networks and Convolutional Processing
卷積神經網絡架構CNN Architectures (AlexNet, Resnet,etc.)
帶序列的視覺（字幕、視頻處理和轉換）Vision with Sequences (Captioning, Video Processing,and Transformers)
生成圖像模型Generative Image Modeling
機器視覺應用Applications: Depth Estimation, Segmentation, Object Detection (YOLO, FasterRCNN)
神經渲染和圖像Neural Rendering and Graphics
可解釋性和不確定性Interpretability and Uncertainty
視覺模型的公平公正問題Fairness and Bias of Vision Modelling
基於深度學習的三維人臉重建3D Reconstruction with Deep Networks (Models and Applications)