Convergence Algorithm, Machine Learning, Gradient Descent, Global Minima, Multiple Linearregression.
the bottom to find the Global Minima. Let’s understand more using our Convergence Algorithm. θj := θj - α (d J(θ0,θ1) /d(θj)) // Now since θ0 is not zero I need to find d J(θ0,θ1) /d(θj) // But you know that our J(θ0,θ1) is the cost funtion. J(θ0,θ1) = 1/2m [i =1 -> m Σ (hθ(x)^i - y^i)^2] : m = no