Introduction to Machine Learning: Class Notes 67577

2009/04/23 by Amnon Shashua, Shashua, Amnon · 1 voice · 1 citation
#cs.LG

paper · pdf · doi:10.48550/arxiv.0904.3664

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).

Cited by

• Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs

Discussions

• Introduction to Machine Learning: Class Notes 67577 [hn, 32 points, 0 comments]

Related

• Introduction to Machine Learning
• Machine Learning: a Lecture Note
• Introduction to Machine Learning for the Sciences
• Classic machine learning methods
• Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning