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KCL Elements of Statistical Learning

This class was created by Brainscape user tyrion lannister. Visit their profile to learn more about the creator.

By: tyrion lannister
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Decks in this class (10)

Week 2 (MLE, MAP, Bayesian Curve, Entropy)
Stirling s approximation 1,
Marginal probability joint probab...,
Sum rule and product rule in cont...
27  cards
Week 5 (GMM)
Combining simplex models to form ...,
Log likelihood for gmm 2,
Latent variable representation fo...
11  cards
Week 6 ( (Fishers/)Linear Discriminant)
3 main methods for classification 1,
Motivate decision boundary 2,
Geometry of decision boundary 3
10  cards
Week 8 (basis function models & Regularisation)
Linear basis function model 1,
Gaussian basis function 2,
Polynomial basis function 3
12  cards
Week 9 (bayesian LR & kernel)
Define a conjugate prior over w 1,
Common choice of prior resulting ...,
Diagrams of bayesian linear regre...
16  cards
Week 10 Variational inference
Formulate elbo 1,
How to restrict proposal 2,
How to optimize q z 3
15  cards
Week 1 (into Equations)
Polynomial curve 1,
Sse for polynomial curve 2,
Regularized sse for polynomial cu...
3  cards
Week 3 (gaussians: Uni, Multi, Gamma)
4 levels of inference 1,
Relevant of parametric distributi...,
Mle for gaussian univariate 3
22  cards

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KCL Elements of Statistical Learning

  • Class purpose General learning

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