From self-driving cars to solving the 50-year protein-folding grand challenge, machine learning is powering a technological revolution.
This map presents a mathematical-heavy approach, building from the ground up to give a deep understanding of the field. This deep understanding is required to go into Machine Learning research and is also valuable background knowledge if deploying models in production as a Machine Learning Engineer or improving their runtime efficiency as a Software Engineer.
Can also be useful to quickly show the key areas that underlie this fast-developing field.
If I've missed concepts, links to great learning material or there are other improvements you'd like to see - email me at firstname.lastname@example.org :)