哥伦比亚大学最新《机器学习》课程，Fall-B 2020 (Machine Learning)

COMS 4771是一个研究生水平的机器学习入门。本课程涵盖监督机器学习的基本统计原理，以及一些常见的算法范例。

https://www.cs.columbia.edu/~djhsu/coms4771-f20/#description

主题：

• Overview of machine learning
• Nearest neighbors
• Prediction theory
• Regression I: Linear regression
• Regression II: Regularization
• Multivariate Gaussians and PCA
• Regression III: Kernels
• Classification I: Linear classification
• Optimization I: Convex optimization
• Classification II: Margins and SVMs
• Classification III: Classification objectives
• Optimization II: Neural networks