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AI

              Artificial Intelligence (AI) is a fast-growing technology that allows machines to do tasks that usually need human
              intelligence, like learning, solving problems, and making decisions. It imitates some abilities of the human brain,
              such as recognising patterns and understanding information, but it cannot fully match the brain’s complexity.

              ML

              ML stands for Machine Learning, which is a subset of Artificial Intelligence. It uses statistical methods to enable
              machines to learn and improve from experience without being explicitly programmed. Machine Learning is one
              of the most widely used techniques for building AI systems worldwide. It involves teaching machines to interpret,
              process, and analyse data to solve problems effectively. The working of machine learning model can be illustrated
              in the following diagram:




















                               Input                          ML Model                           Output

              Here, the input refers to the historical data provided to the AI model for training. The AI model analyses this data
              to identify patterns and relationships, enabling it to predict the output.

                              Reboot


                    1.  Define Machine Learning.







                    2.  Differentiate between Machine Learning and Artificial Intelligence.











              Let’s consider an example where all the data is labelled. This labelled data is provided as input to the ML model.
              The model learns from this data and then predicts the output.

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