Moving course1 to course1 subdir.

machine_learning/course1/mlclass-ex2-008/mlclass-ex2/findmin.m

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+function [theta,hist] = findmin(CF, X, y, theta, alpha, num_iters)
+%GRADIENTDESCENTMULTI Performs gradient descent to learn theta
+%   theta = GRADIENTDESCENTMULTI(x, y, theta, alpha, num_iters) updates theta by
+%   taking num_iters gradient steps with learning rate alpha
+
+hist = zeros(num_iters+1, length(theta));
+hist(1,:) = theta';
+
+for iter = 1:num_iters
+
+    % ====================== YOUR CODE HERE ======================
+    % Instructions: Perform a single gradient step on the parameter vector
+    %               theta. 
+    %
+    % Hint: While debugging, it can be useful to print out the values
+    %       of the cost function (computeCostMulti) and gradient here.
+    %
+
+
+	[J,g] = CF( theta, X, y );
+
+	theta = theta - alpha * g;
+
+	hist(iter+1,:) = theta';
+
+end
+
+end