Couldn't agree more. That bit about very large condition numbers indicating risk of numerical and overflow errors is so spot on, its something I constantly tell my students when we talk about model stability in AI projects. The way you set up these daily challenges makes complex topics like this so accessible and practical for learning Python and numpy, which is truly invaluable.
Couldn't agree more. That bit about very large condition numbers indicating risk of numerical and overflow errors is so spot on, its something I constantly tell my students when we talk about model stability in AI projects. The way you set up these daily challenges makes complex topics like this so accessible and practical for learning Python and numpy, which is truly invaluable.
Thanks 😊