Most of the arguments either don't add up (e.g. saying it's mathematically proven while ML doesn't have rigorous theory) or are too generic to add much value. T

Most of the arguments either don't add up (e.g. saying it's mathematically proven while ML doesn't have rigorous theory) or are too generic to add much value. The course feels more like a verbal introduction to the library API rather than teaching anything related to ML.