This page is made for 2 purposes: share with the students I have taught some links that I was often referring to and share personal summaries of some papers that I have read and dived into.

Interesting sources of information

I hereby refer to all nice source of information I usually use in order to get knowledge about machine learning, or any interesting topic.

If you are interested in explanations about anything, made by performant video maker, please give a look at my Youtube following page.

Other nice sources of knowledge:

Summaries of papers

For scientific paper summaries, my goal is to share complete summary with all important information that should be highlighted, with some comments. Nowadays, a “popularized” (explained for a less scientific audience) version of the scientific paper is usually provided (through blog posts for example). When it’s the case, I provide the link. The difference between my summaries and these block-posts is that I usually try to provide every relevant scientific information (i.e. math equations and links) for scientifically understand the paper.

This work was first personal, to better dive into the paper that I have found astonishing so far, but I have finally decided to share this work that could be useful also to others. I hope this could help some people that want to quickly read them.
All the credits have to be given to the amazing work made by the actual researchers and authors.

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This part is still being completed, I have other interesting paper that I summarized in my Google Docs, that I have to work on to make them fit into this website…