From Machine Learning to Machine Unlearning

After all, the term Machine Learning was coined based on the way the human (or animal) brain learns, meaning that somehow, machines could also benefit from a similar kind of learning. But human beings, successful ones for sure, know how to un-learn. In my case, while I was always fascinated by mathematics since my very early years, the school system's training (as in training an algorithm in ML) failed on me. It failed not because I did not succeed at school (I ended up at Cambridge University) but because I was fed (the way an ML learning algorithm is fed with a training set) with the most boring, least valuable kind of mathematics when attending high school. Later on, during my academic years, I can say the same about the way I was trained to write academic articles: emphasis was on delivering esoteric content that few could read or leverage.