Kicking off machine learning

Monday… The final ethics class on the topic of fairness in sports. Tomorrow I write up the notes for the next week of classes. I’m up to doing 10 classes a week now! I also need to get working on that course outline for creative thinking and problem solving.

This evening I am tutoring the first lecture on machine learning for my image processing course. It’s quite introductory, with just an overview of machine learning, very light on the guts of how it works. The technical part is mostly all on probability distributions, which is the fundamental maths required to understand how machine learning works. It’s very different to courses that I’m used to. It doesn’t delve down far enough to understand how everything works in enough detail to implement it from scratch. Which I grant is appropriate for the audience, engineering and business students doing one course in image processing to get some idea how it works, rather than people destined for a career in image processing who need to understand it a very fundamental level.

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