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Types of Machine Learning

              Machine learning is often divided into three categories—Supervised, Unsupervised and Reinforcement Learning.

                                                               • Labeled data
                                                               • Direct feedback
                                                               • Predict outcome, future


                                          Supervised
                                            Learning


                                                                                           • No labels
                          Machine                            Unsupervised                  • No feedback
                          Learning                             Learning                    • 'find hidden structure'




                                         Reinforcement
                                            Learning
                                                              • Decision process
                                                              • Reward system
                                                              • Learn series of actions
              Let us discuss them in detail.


              Supervised Learning
              In supervised learning, you use “labelled” data to train the machine. This means that some data has been marked as
              the correct answer. It can be compared to learning in the presence of a supervisor or teacher.
              Supervised learning algorithms learn from labelled training data to help predict the outcome of unforeseen data.
              Building, expanding, and successfully implementing accurate supervised machine learning models requires time and
              technical expertise from a team of highly trained data scientists. Take a look at the examples below:
              Example 1:



                                                                                        It is a
                                                                                      mango !
                         INPUT RAW                Supervisor
                            DATA        Training data set   Desired Output    OUTPUT








                                               Algorithm      Processing     Model Trained


                                                    Model Training


                                                                               INPUT

              Step 1:     You provide the system with photos of mangoes and let it know that these are mangoes. This is called
                        labelled data.


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