pmtk3

1. summary A list of every PMTK3 demo

auto-generated by publishDemos on 27-Mar-2012

Book Demos

• (1) Introduction
• (2) Probability
• (3) Generative Models For Discrete Data
• (4) Gaussian Models
• (5) Bayesian Statistics
• (6) Frequentist Statistics
• (7) Linear Regression
• (8) Logistic Regression
• (10) Directed Graphical Models Bayes Nets
• (11) Mixture Models And The EM Algorithm
• (12) Latent Linear Models
• (13) Sparse Linear Models
• (14) Kernels
• (15) Gaussian Processes
• (16) Adaptive Basis Function Models
• (17) Markov And Hidden Markov Models
• (18) State Space Models
• (19) Undirected Graphical Models Markov Random Fields
• (21) Variational Inference
• (23) Monte Carlo Inference
• (24) Markov Chain Monte Carlo MCMC Inference
• (25) Clustering
• (26) Graphical Model Structure Learning
• (27) Latent Variable Models For Discrete Data
• (28) Deep Learning

Other Demos

_a collection of demos not appearing in the book_

• OtherDemos