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Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2

Offered By: Serrano.Academy via YouTube

Tags

Natural Language Processing (NLP) Courses Machine Learning Courses Topic Modeling Courses Gibbs Sampling Courses Latent Dirichlet Allocation Courses

Course Description

Overview

Dive into the second part of a two-video series on Latent Dirichlet Allocation (LDA), focusing on training the model using Gibbs sampling. Explore the problem recap, exercise properties, and goals before delving into the intricacies of Gibbs sampling. Understand the rationale behind this sampling method and its high probability applications. Conclude with a comprehensive recap of the LDA training process, building upon the foundations laid in the first video of the series.

Syllabus

Introduction
Problem Recap
Exercise
Properties
Goal
Gibbs Sampling
Gibbs Sampling Rationale
High Probability
Recap
Conclusion


Taught by

Serrano.Academy

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