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2.  The  rewards  are  input  data  received  by  the  agent  when  certain  criteria  are  satisfied.  For
                  example, a Reinforcement Learning AI agent in chess will make many moves before each win

                  or loss.
              3.  Rewards often contain only partial information. A reward like a win in chess doesn’t clearly
                  signal which inputs were good and which were not.

              4.  The system is learning an action policy for taking actions to maximise its receipt of cumulative
                  rewards.

            Limitations of Machine Learning Systems

            There are many different types of Machine Learning failure modes, but perhaps the most common
            is when the training data is not sufficiently representative and instructive for the diverse, real-world
            examples the Machine Learning system will encounter. For example, a satellite imagery classifier that
            is trained to recognise vehicles exclusively using training data images in a desert environment should
            be assumed to have degraded performance if the operational data images are of the same vehicles in
            a grassland, urban, or arctic tundra environment. For the same reason, the performance of ML models
            in real world applications generally degrades over time if not regularly updated with new training data
            that reflects the changing state of the world.


             P
             Post-Processingost-Processing
                The  various  disciplines  of  study  that  approach  AI  are  Computer  Science,  Computer
                  Engineering, Philosophy, Psychology, Mathematics & Statistics, Neuroscience, Linguistics,
                  and Biology.
                Symbolic  AI  refers  to  approaches  to  developing  intelligent  machines  by  encoding  the
                  knowledge and experience of experts into sets of rules that can be executed by the machine.

                Machine  Learning  AI  systems  generate  their  own  rules  without  human  intervention  by
                  observing and recognizing patterns.

                Factors that have led to growth in focus on Machine Learning include massive datasets,
                  increased computing power, improved algorithms, and open-source code libraries.
                Machine Learning can be Supervised, Unsupervised, Semi-supervised, and Reinforcment.




                                                        Info Retention

            A.   Select the correct option for each of the following statements.

                1.  Which discipline of study contributes towards the study of particularities of the mind and
                    behaviour?
                    (a)  Philosophy         (b)  Biology              (c)  Psychology         (d)  Linguistics

                2.  Which of the following describes the aim of Artificial Intelligence to provide machines with?
                    (a)  Creation of humans                          (b)  Imitation of human intelligence

                    (c)  Creation of human intelligence              (d)  Destruction of human intelligence



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