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Deep Learning
                  Deep learning allows a machine to independently mimic human
                  thought patterns. It is a subset of machine learning.


                  Training and Testing Data

                  Training and testing data are crucial components in machine learning. The training data is used
                  to teach the model by allowing it to learn patterns, relationships, and behaviors from the input
                  data. Once the model has been trained, the testing data, which is kept separate from the training
                  set, is used to evaluate the model’s performance and its ability to generalise to unseen data.

                  Training Data

                  Training data is a collection of labelled information that is used to build a machine learning
                  model. It can be annotated text, images, videos or audios. Through training data, an AI model
                  learns to perform its task with high level of accuracy.

                  Test Data
                  The data that is given to an AI machine to test the machine is called test data. Based on the
                  training data the AI-enabled machine predicts the output from the test data.

                                    Training Data
                                                                          Prediction
                                                                                                  Video


                                             TXT
                                        TXT                                                 TXT    Text
                                                        Model Training

                                       Lables                                   TXT

                                                                          Test Data
                                 Video TXT  Audio
                                       Text


                                                           Pattern Recognition

                                                           Pattern recognition is a data analysis method that uses

                                                           machine learning algorithms to automatically recognise
                                                           patterns and regularities in data. This data can be anything
                                                           from  text  and  images  to  sounds  or  other  definable
                                                           qualities. Pattern  recognition  systems  can recognise
                                                           familiar patterns quickly and accurately.







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