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Related lectures (29)

Topic Models: Latent Dirichlet Allocation

Introduces Latent Dirichlet Allocation for topic modeling in documents, discussing its process, applications, and limitations.

3-dimensional Anosov flows: Mixing Properties and Equilibrium Measures

Explores mixing properties and equilibrium measures in 3-dimensional Anosov flows.

Topic Models: Latent Dirichlet Allocation

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Mixtures: introduction

Introduces mixtures, covers discrete and continuous mixtures, explores examples, and discusses combining probit and logit models.

Elliptical Distributions: Properties and Applications

Covers elliptical distributions, including properties, applications, and risk management implications.

3-dimensional Anosov flows: Exponential Mixing and Transfer Operators

Covers 3-dimensional Anosov flows, exponential mixing, transfer operators, and equilibrium measures.

Gaussian Mixture Models & Noisy Signals

Explores Gaussian mixture models and denoising noisy signals using a probabilistic approach.

Transformations of Random Variables

Covers the pdf of the sum of continuous random variables, convolution, and transformations like Y=aX.

Variational Inference and Neural Networks

Covers variational inference and neural networks for classification tasks.

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