Reordering the tutorials? #270
Description
Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest something like:
- Introduction
- Linear regression
- Logistic regression
- Multinomial regression
- Poisson regression
- Gaussian mixture model
- Infinite mixture model
- Variational inference
- Bayesian neural networks
- Bayesian differential equations
- Hidden Markov models
So the order goes from easy to difficult; this order also keeps generalized models together with their more specific instances (e.g. logistic regression is followed by multinomial regression).
I can make the PR if you guys are interested.
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