Python, R Programming, R, Linear Algebra, Calculus.
return(J) } # Implement gradient descent gradient_descent <- function(x, y, alpha, num_iters) { m <- length(y) theta <- matrix(c(0, 0), ncol = 1) for (i in 1:num_iters) { h <- x %*% theta loss <- h - y gradient <- t(x) %*% loss / m theta <- theta - alpha * gradient } return(theta) } theta <-