CHAPTER 11 / 40

Gaussian Mixture Models

2 lessons · Explore, experiment and understand.

DOJO PETYour little coding companion

DOJO / YOUR GUIDE

Let’s figure it out.

Ask me about this course or where to start.

Chapter lessons

2 lessons

11Gaussian Mixture Models

0/22 lessons

Why this matters in ML

Gaussian Mixture Models fit a probability density to data and assign soft cluster memberships — the gateway to EM, variational inference, and generative modeling.

GMM
EM algorithm
soft clustering

Step 50
~20m3D · 12Code · 15
★Most cinematic⚡Challenge
GMM and EM Algorithm
A Gaussian Mixture Model (GMM) assumes the data is generated by underlying clusters, each Gaussian with its own mean and covariance: where a…
Open lesson
Step 51
~20m2Code · 15
⚡Challenge
GMM: Latent Variable Perspective
The cleanest way to derive GMMs and EM is via latent variables. Introduce a categorical latent for each data point, with prior . Conditional…
Open lesson

Gaussian Mixture Models

Let’s figure it out.

GMM and EM Algorithm

GMM: Latent Variable Perspective

Gaussian Mixture Models

Let’s figure it out.

GMM and EM Algorithm

GMM: Latent Variable Perspective