Understanding Latent Dirichlet Allocation (LDA) — A Data Scientist’s Guide (Part 2) | by Louis Chan | Feb, 2024

LDA Explained with a

“What if my a priori understanding of dog breed group distribution is inaccurate? Is my LDA doomed?”

My wife asked.

Welcome back to part 2 of the series, where I share my journey of explaining LDA to my wife. In the previous post, we discussed how LDA works and how it can be understood as a dog pedigree model.

This around, let’s dive into the iterative fitting process of LDA!

Part 1 (link):

  • How does LDA ?
  • How to explain LDA to a non-technical person?

Part 2 (We are here now!):

  • How does LDA iteratively?
  • How does LDA converge?
  • Bonus: Get your LDA cheatsheet here!

Part 3:

  • When to use LDA & when not to?
  • How can we use it in ?
  • What are the & variants to LDAs (excluding LLMs)?

Let’s get started.

If you have not read part 1 of the series, I strongly encourage you to read it first, as we will on that understanding.

Quick Recap from Part 1

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