The current course materials include ...
Precursors: |
Introduction: |
Probability and Spectral Clustering:
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Generative Models and Recommendation Systems:
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Gaussian Models and Natural Language Processing: |
Bayesian Statistics and Imbalanced Classification: |
Frequentist Statistics and Graphical Models: |
Linear Regression and Semi-Supervised Learning: |
Logistic Regression and Active Learning: |
Adaptive Basis Function Models and Online Learning: |
Deep Learning: |