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Classroom Contents
Boston Data Mining - A High-Performance Implementation of Bayesian Clustering
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- 1 Intro
- 2 About us
- 3 Why this topic
- 4 Overview
- 5 What is crp
- 6 Clustering tree
- 7 No categories
- 8 Why not Kmeans
- 9 General Models
- 10 Mixture Model
- 11 Chinese Restaurant
- 12 Dinosaur Diamonds
- 13 Dirichlet Compound
- 14 Plate Diagram
- 15 Beta
- 16 Standard Trick
- 17 Why Markov
- 18 Priors
- 19 How to do it
- 20 Why it exploded
- 21 Reseeding
- 22 Profiler
- 23 Functional Programming
- 24 Fast Care
- 25 Immutable
- 26 C Function
- 27 Super Abstraction
- 28 Who are Bayesian Data Scientists
- 29 Performance Expectations
- 30 Performance Issues
- 31 Code Base
