hmm this is important and deserves more clarity. Algorithmic computer science is used and taught widely, in a hundred programming languages. Machine Learning is a statistics-based group of techniques using data to guess reliably the values in new data. Machine Learning is often called a subset of AI, but there is no real definition of AI except "doing something with a computer that previously required a human"

So the change here is .. instead of pre-written rules to determine outcomes.. use a lot of data, read and build a model from that data, to predict with statistics what the new result should look like given similar inputs.

Machine Learning is data-driven to predict, while algorithms use math and loops to derive answers.