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• Object Classification: ML model learns to identify and name objects in images and videos. For example, if
                   you show it pictures of animals like cats and dogs, it learns what each looks like. Later, when you give it a new
                   picture, it can tell whether it’s a cat or a dog.


                           Labelled Data
                                                     Model
                                                    Training                Prediction
                                                                                                           Dog


                                                                                                           Cat



                              Labels

                                                     Cat  Dog
                           Cat  Frog Dog            Test Data

                 DL

                 DL stands for Deep Learning. It is a subset of Machine Learning inspired by the structure and function of neurons
                 in the human brain, leading to the development of Artificial Neural Networks (ANNs). Deep Learning involves
                 implementing  neural  networks  to  process  high-dimensional  data,  extract  meaningful  insights,  and  provide
                 solutions to complex problems.
                 In the hierarchy of Artificial Intelligence (AI), AI represents the broader field, with Machine Learning (ML) as a
                 subset, and Deep Learning (DL) as a further specialised subset of ML. While ML focuses on algorithms to learn
                 from data, DL represents the next evolution of ML. DL is capable of handling large datasets and complex tasks with
                 multi-layered neural networks.


















                                   Input Layer                 Hidden Layers               Output Layer

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