diff --git a/machine-learning-ex8/ex8/cofiCostFunc.m b/machine-learning-ex8/ex8/cofiCostFunc.m
index 00f45ab..1f24deb 100644
--- a/machine-learning-ex8/ex8/cofiCostFunc.m
+++ b/machine-learning-ex8/ex8/cofiCostFunc.m
@@ -40,20 +40,11 @@ Theta_grad = zeros(size(Theta));
 %                     partial derivatives w.r.t. to each element of Theta
 %
 
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+t1 = (Theta*X')';
+t2 = (t1-Y).^2;
+t3 = t2(R==1);
+temp = sum(t3(:));
+J = (1/2) * (temp);
 
 % =============================================================
 
diff --git a/machine-learning-ex8/ex8/ex8_cofi.m b/machine-learning-ex8/ex8/ex8_cofi.m
index d8f224f..57baa20 100644
--- a/machine-learning-ex8/ex8/ex8_cofi.m
+++ b/machine-learning-ex8/ex8/ex8_cofi.m
@@ -40,7 +40,7 @@ ylabel('Movies');
 xlabel('Users');
 
 fprintf('\nProgram paused. Press enter to continue.\n');
-pause;
+% pause;
 
 %% ============ Part 2: Collaborative Filtering Cost Function ===========
 %  You will now implement the cost function for collaborative filtering.
@@ -66,7 +66,7 @@ fprintf(['Cost at loaded parameters: %f '...
          '\n(this value should be about 22.22)\n'], J);
 
 fprintf('\nProgram paused. Press enter to continue.\n');
-pause;
+% pause;
 
 
 %% ============== Part 3: Collaborative Filtering Gradient ==============
diff --git a/machine-learning-ex8/ex8/token.mat b/machine-learning-ex8/ex8/token.mat
index 323ae30..9b10b2d 100644
Binary files a/machine-learning-ex8/ex8/token.mat and b/machine-learning-ex8/ex8/token.mat differ