Last year in April I attended a good course of machine learning which pushed my self learning to a new level. The course also introduced the language R and I have loved dipping with machine learning since then though most of it is done in python.
We had an excellent trainer with more than 20 years of experience in the field. I loved his 101 course in statistics as the prelude to the course and the practical examples that the trainer brought up while teaching us the mechanics of perceptrons, ridge regression etc.
What the course lacked was an historical perspective on machine learning and how it all came about as we now know it.
Found this excellent video that provides that perspective.
From the first meeting in summer of 1956 to the many A.I winters followed by the eventual emergence of deep learning, the below video provides an excellent historical primer on the algorithms, and techniques that are shaping our world.