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Latent Dirichlet Allocation with Gibbs Sampling Explained

Offered By: Aladdin Persson via YouTube

Tags

Unsupervised Learning Courses Machine Learning Courses Probabilistic Graphical Models Courses Conditional Probability Courses Topic Modeling Courses Gibbs Sampling Courses Latent Dirichlet Allocation Courses

Course Description

Overview

Explore Latent Dirichlet Allocation (LDA) with Gibbs Sampling in this comprehensive 33-minute video tutorial. Dive into the fundamentals of topic modeling and understand the LDA algorithm's inner workings. Learn about posterior inference, Gibbs sampling, and collapsed Gibbs sampling techniques. Discover how to find conditional probabilities and implement LDA using pseudo-code. Gain insights into this classic machine learning method, its historical significance, and its relevance in modern courses. Follow along with a detailed explanation of a tutorial paper, preparing you for a future implementation video.

Syllabus

- Introduction
- What is topic modelling?
- LDA
- Posterior Inference
- Gibbs Sampling
- Collapsed Gibbs
- Finding conditional probability
- Implementation
- Pseudo code
- Ending


Taught by

Aladdin Persson

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