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Low rank autoML
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Classroom Contents
Big Data Is Low Rank - Madeleine Udell, Cornell University
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- 1 Intro
- 2 Data table: politics
- 3 Principal components analysis
- 4 Generalized low rank model
- 5 Fitting GLRMs with alternating minimization
- 6 Impute missing data
- 7 Impute heterogeneous data
- 8 Example: Julia implementation
- 9 Validate model
- 10 Hospitalizations are low rank
- 11 Low rank models for dimensionality reduction
- 12 Low rank autoML
- 13 Low rank fit correctly identifies best algorithm type
- 14 Experiment design for timely model selection
- 15 Latent variable models examples
- 16 Approximate low rank
- 17 Rank of nice latent variable models?
