CUHK-STAT3009 | Schedule

Date	Lecture	Readings	Logistics
Thu 09/10	Lecture #1 : Course Overview & Software Setup [ slides \| PDF \| pynb ]	Python NumPy Tutorial - CS231n Stanford Python Tutorial VS Code & Google Colab Setup: Install & Quick Start · Step-by-step Guide
Thu 09/17	Lecture #2 : Baseline Methods for Rating Prediction Start here · Warm-up 01 Pandas from a URL In-class review [ slides \| PDF \| pynb ]	pandas: Summary statistics and groupby NumPy: Integer and Boolean array indexing The Netflix Prize (Bennett & Lanning, 2007) (Sections 1–3: background, evaluation, and data splits) Optional: Recommender Systems Datasets (UCSD)
Thu 09/24	Lecture #3 : Machine Learning I: Models and Estimators Start here · Warm-up 02 Core pandas + NumPy review 15–18 min [ slides \| PDF \| pynb ]	scikit-learn: Getting started (fit, predict, and evaluate) scikit-learn: LinearRegression scikit-learn glossary: Parameters and hyperparameters scikit-learn: Mean squared error Optional: Developing scikit-learn estimators	HW1 released Open HW1 in Colab Due: Thu 10/08 before lecture