1
Q
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Machine Learning
flashcards
Decks in class (10)
# Cards
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Lecture 9 - Bayesian inference: approximation & sampling15
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Lecture 10 - Clustering: K-Means7
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Lecture 11 - Clustering: EM Algorithm for GMM11
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Lecture 12 - Support Vector Machines & Kernel methods10
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Lecture 13 - Explainable ML: Introduction & Interpretable Models23
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Lecture 14 - Explainable ML: Model Agnostic Methods9
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Lecture 15 - Neural networks: backpropagation10
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Lecture 16 - Introduction to deep learning13
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Lecture 8 - Bayesian Inference1
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Lecture 13 - Explainable ML56
