https://open.163.com/newview/movie/free?pid=IEU2H8NIJ&mid=VEU2H8NKA
Supervised Learning & Gradient Descent
Notation:
- \(m\) = #training examples.
- \(n\) = #features
- \(x\) = input variables / features.
- \(y\) = output variable / target variable
- \((x, y)\) = training example
- The i-th: \((x^{(i)},y^{(i)})\)