Many years ago, when I was a computer science student, I was impressed by -and consequently interested in- Neural Networks. At that time Machine Learning was not the buzz word that is today (it was called "Conectionism") and I had the chance to migrate the Rochester Connectionist Simulator to windows (from *nix) for the great joy of my professor then. But as you may know the time was not yet right and Artificial Neural Networks (abbreviated as ANN) was dropped in the "nice to have...some day" list, waiting for a better moment. If you are reading this, it means that you know that ANN have arrived and are here to stay and as I am currently working in a company where data is an asset and applying Machine Learning (ML) is one of the current paths to data monetization, I decided I should dust off my old books and also learn about the new trends in IA (I guess I don't need to explain this acronym). I searched for a good online course and signed in for Kirill Emerenko's excellent course "Machine Learning A-Z". There is a lot of information in that course and as I was going through the different sections I realized that I would have a hard time remembering everything, so I decided to make a mind map.