We’ve covered a lot of ground in this series – from basic linear algebra to the sophisticated mathematics of backpropagation. But here’s the thing about learning machine learning – until you see it working on real problems, it can feel pretty abstract. It’s like learning to drive by studying the owner’s manual – you understand the theory, but you need to get behind the wheel to really get it. by Christopher Miller