# Introduction to Machine Learning: Class Notes 67577

**Authors:** Amnon Shashua  
**arXiv:** [0904.3664](https://arxiv.org/abs/0904.3664)  
**Date:** 2009-04-23  
**Summary page:** https://www.summarizepaper.com/en/paper/0904.3664v1/

## Abstract

Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).