## An annotated path to start with Machine Learning

“Do not worry about your difficulties in Mathematics. I can assure you mine are still greater.” (A. Einstein) Machine Learning is becoming more and more widespread and, day after day, new computer scientists and engineers begin their long jump into this wonderful world. Unfortunately, the number of theories, algorithms, applications, papers, books, videos and so forth is so huge to disorient whoever hasn’t a clear picture of what he wants/needs to learn to improve his/her skills. In this short post, I wanted to share my experiences, suggesting a feasible path to learn quickly the essential concepts and being ready to go deeper the most complex topics. Of course, this is only a personal proposal: every student can choose to dedicate more attention to some topics which are more interesting based on his/her experience. Prerequisites Machine Learning is based on Mathematics. It’s not an optional, theoretical approach: it’s a fundamental pillar […]