Feedback – SoME

Bayes, bits & brains

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Tags: probabilitystatisticsmachine-learninginformation-theory

This is a website about probability, information theory, and how they help us understand machine learning in particular, and the world in general. The main prerequisite is knowing probability on the level of a standard introductory course. Some more advanced parts of the site also assume some knowledge of statistics / machine learning, mostly to appreciate the context. The site takes a nonstandard approach to expose the topics: heavy on hands-on widgets and light on proofs. I would be grateful for your feedback! Apart from SoME feedback form, you can use the button in the bottom-right of the page. AI was used heavily in all kinds of ways to create this website.

Analytics

7 Overall score*

11 Rank

13 Votes

7 Comments

Comments

Nice explanation of the basics of relative entropy. I liked your hands-on widgets.

7.5

A good combination of interesting and informative.

7.6

It brought together different fields together very well, and gave an intuition for why the same underlying math applies.

I think it is good to introduce Bayes step by step, and the widgets are interesting.

6.7

This is probably one of the best I’ve seen, ever.

It made me appreciate the training of neural networks and the statstics behind it. And it did that be clearly building up everything needed to actually be able to appreciate this!

5.4

I think it attempts to cover too many topics in not enough depth - narrowing the focus could improve it. Cool domain name though.