Hi,
I was going through the MLE and MAP estimation page. It is very well written. Thank you!

I had a few suggestions:

• Add analytical MLE expression and show learnt MLE is same as analytical MLE
• Add analytical MAP expression and show learnt MAP is same as analytical MAP
• render_model() showing the graphical models and how they differ for MLE and MAP model
• use uniform prior additionally for MAP model and show MAP = MLE
• Show neg loglikelihood(optimum) = SVI loss for MLE (optimum)

I can make a PR on the above.

Also, it may be useful to additionally show:

• how the auto guide is similar to the manually defined guide -- similar params and samples? I am not sure how best to show this.