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Intro
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Classroom Contents
Topological Modeling of Complex Data
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- 1 Intro
- 2 Big Data
- 3 Size vs. Complexity
- 4 Mathematical Modeling
- 5 What Do Models Buy You?
- 6 Hierarchical Clustering
- 7 Problems with Algebraic Modeling
- 8 Problems with Clustering
- 9 The Shape of Data
- 10 How to Build Networks for Data Sets
- 11 Topological Modeling
- 12 Unsupervised Analysis - Diabetes
- 13 Unsupervised Analysis/ Hypothesis Generation
- 14 Microarray Analysis of Breast Cancer
- 15 Different Platforms for Microarrays
- 16 TDA and Clustering
- 17 Feature Modeling
- 18 Explaining the Different cohorts
- 19 UCSD Microbiome
- 20 Pancreatic Cancer
- 21 Hot Spot Analysis and Supervised Analysis
- 22 Model Diae
- 23 Create network of mortgages
- 24 Surface sub-populations
- 25 Improve existing models
- 26 Serendipity
- 27 Exploratory Data Analysis
