Misc. ./apps ./doc ./platoforms typos

Found via `codespell -q 3 --skip="./3rdparty" -I ../opencv-whitelist.txt`

doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown

@@ -51,7 +51,7 @@ Let's introduce the notation used to define formally a hyperplane:
 
 where \f$\beta\f$ is known as the *weight vector* and \f$\beta_{0}\f$ as the *bias*.
 
-@sa A more in depth description of this and hyperplanes you can find in the section 4.5 (*Seperating
+@sa A more in depth description of this and hyperplanes you can find in the section 4.5 (*Separating
 Hyperplanes*) of the book: *Elements of Statistical Learning* by T. Hastie, R. Tibshirani and J. H.
 Friedman (@cite HTF01).
 

doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown

@@ -115,7 +115,7 @@ Explanation
 -#  __Set up SVM's parameters__
 
     @note In the previous tutorial @ref tutorial_introduction_to_svm there is an explanation of the
-    atributes of the class @ref cv::ml::SVM that we configure here before training the SVM.
+    attributes of the class @ref cv::ml::SVM that we configure here before training the SVM.
 
     @snippet cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp init
 

doc/tutorials/ml/table_of_content_ml.markdown

@@ -10,7 +10,7 @@ of data.
 
     *Author:* Fernando Iglesias García
 
-    Learn what a Suport Vector Machine is.
+    Learn what a Support Vector Machine is.
 
 -   @subpage tutorial_non_linear_svms