Latent Dirichlet Allocation - Part 1

Dive into the first part of a two-video series exploring Latent Dirichlet Allocation (LDA), a powerful machine learning technique for sorting documents by topic. Learn about the problem LDA addresses, understand the concept of a document-generating machine, and explore the blueprint for the LDA model. Discover how to calculate document probabilities, grasp the idea of distribution of distributions, and visualize topics in multiple dimensions. Engage with interactive quizzes to reinforce your understanding of topic placement and selection. Uncover the intricacies of Dirichlet distributions and their role in LDA. Explore the process of finding optimal settings for the LDA model and identifying winning arrangements. This 27-minute video provides a comprehensive introduction to LDA, setting the stage for the second part of the series.

Introduction
The problem
Machine that generates documents
Blueprint for the LDA machine
Probability of a document
Quiz: Which one for topics?
A distribution of distributions
More topics? More dimensions
In More dimensions
Quiz: Where to put the topics?
Two Dirichlet distributions
Latent Dirichlet Allocation
Best settings on the machine
The winning arrangements
Series of two videos
Acknowledgements
Thank you!