[antipaul]

I support this learning method. Having a map of the key concepts, as well as visceral feel for them via code, will keep up the motivation.

This would be in contrast to picking up one of the plethora of “ML” textbooks that mostly only describe the math behind all the algorithms. Which is not where you should begin, in my view (years of teaching experience). The use of such textbooks is as a reference to fill in details once your are curious about them.

And more than anything, the best way to learn practical ML is to “apprentice” to some experienced practitioners or team who are willing to act as mentors.