What is a latent variable?
What is the difference between random variables that you can observe and that you cannot? The latter are also called latent or hidden. How do you represent them in Directed Graphical Models? Here are the notes: https://raw.githubusercontent.com/Cey... Latent nodes introduce the problem of missing data. This results in more complicated likelihood calculations, for which we have to find a remedy in another video ------- 📝 : Check out the GitHub Repository of the channel, where I upload all the handwritten notes and source-code files (contributions are very welcome): https://github.com/Ceyron/machine-lea... 📢 : Follow me on LinkedIn or Twitter for updates on the channel and other cool Machine Learning & Simulation stuff:   / felix-koehler  and   / felix_m_koehler  💸 : If you want to support my work on the channel, you can become a Patreon here:   / mlsim  ------- Timestamps: 0:00 Opening 0:18 Observable Nodes 2:27 Latent Nodes 4:00 Problem with latent nodes 5:24 Solution by Marginalization?

Maximum Likelihood Estimate by Automatic Differentiation | Directed Graphical Models

Variational Inference | Evidence Lower Bound (ELBO) | Intuition & Visualization

What is D-Separation? | Conditional Independence

Latent variables

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Variational Inference: Simple Example (+ Python Demo)

The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)

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Gaussian Processes

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The challenges in Variational Inference (+ visualization)

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CS 182: Lecture 18: Part 1: Latent Variable Models

The Mystery of 'Latent Space' in Machine Learning Explained!

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Probit model as a result of a latent variable model

