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1
Introduction
2
The problem
3
Machine that generates documents
4
Blueprint for the LDA machine
5
Probability of a document
6
Quiz: Which one for topics?
7
A distribution of distributions
8
More topics? More dimensions
9
In More dimensions
10
Quiz: Where to put the topics?
11
Two Dirichlet distributions
12
Latent Dirichlet Allocation
13
Best settings on the machine
14
The winning arrangements
15
Series of two videos
16
Acknowledgements
17
Thank you!
Description:
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.

Latent Dirichlet Allocation - Part 1

Serrano.Academy
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