Not yet there, as I still need to (heavily) rearrange the course navigation and the content of the first introductory lesson on both the Julia & ML parts, but the content is indeed pretty ready (I will add random forests, clustering and perhaps reinforcement learning in a second version).
Just to ask if I am really saying something really wrong, in particular on the ML/Perceptron general ideas (here the page, here the videos) and the Neural Networks (page, videos).
I am pretty proud of some of my original figures 