An introduction to machine learning (a form of artificial intelligence concerned with getting computers to learn from data), and a discussion of some of the mathematics underlying machine learning algorithms.
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Here’s a very nice introduction to machine learning by Ian Murray.
What area of mathematics would study the concepts in these videos? (Not the idea of machine learning which might be from Computer Science) but the idea of error, minimizing functions, ect.. Is it statistics or is there a more precise sub-feild within stats that deals with this?
The idea of error comes up a lot in statistics, though it is often treated a bit differently there than in machine learning (for instance, in statistics you’ll frequently see the assumption that prediction errors made by a model have a certain distribution are are independent from each other, something that I haven’t seen a lot of in machine learning). The study of finding the minimal value of functions or finding the optimal parameters to minimize a function can be found in the field of optimization theory.
You are very generous when it comes to sharing your wealth of knowlege. I really enjoy both your blogs. Thank you !