Merge pull request #5295 from LorenaGdL:ml-svm_tutorials

doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown

@@ -94,6 +94,8 @@ the weight vector \f$\beta\f$ and the bias \f$\beta_{0}\f$ of the optimal hyperp
 Source Code
 -----------
 
+@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/2.4/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html#introductiontosvms)
+
 @include cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
 
 Explanation

doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown

@@ -89,6 +89,9 @@ Source Code
 You may also find the source code in `samples/cpp/tutorial_code/ml/non_linear_svms` folder of the OpenCV source library or
 [download it from here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
 
+@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code
+using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/2.4/doc/tutorials/ml/non_linear_svms/non_linear_svms.html#nonlinearsvms)
+
 @include cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
 
 Explanation