The real barrier to entry to ML is statistics. Most computer science degrees require an intro to statistics class, but if you really want to understand ML and where it should and can be applied appropriately you need a much deeper understanding.
IMO, it's much easier to pick up the programming required for ML than the statistics. This was reflected in the classes I took as a double statistics/computer science major. Most of the people in my CS department's machine learning course were statistics students looking to go into data science, not computer programmers looking to get in on the ML trend.
IMO, it's much easier to pick up the programming required for ML than the statistics. This was reflected in the classes I took as a double statistics/computer science major. Most of the people in my CS department's machine learning course were statistics students looking to go into data science, not computer programmers looking to get in on the ML trend.