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• Data exploration means finding the patterns and trends in the data.
                       • Data visualisation is the graphical representation of data and information.
                       • Modelling  or  data  modelling  is  defined  as  the  process  of  designing  decision-making  algorithms  that  have  to
                       be trained on a set of data (which was acquired at the data acquisition stage for the problem you scoped in the
                       problem-scoping stage) and applying that learning to recognise certain types of patterns.
                       • Rule-based data modelling is based on a set of rules and a set of facts already fed to the machine to generate the
                       desired output.
                       • Learning-based data modelling refers to the model where the relationship or patterns in the data are not defined
                       by the developer.
                       • Decision  trees are tools that follow a rule-based approach that  uses  a tree-like model of decisions  and their
                       possible consequences.
                       • Evaluation is a process that critically examines a program.
                       • Confusion matrix is a tabular structure that helps in measuring the performance of an AI model using the test data.
                       • The ROC curve is a graphical representation that illustrates the performance of a binary classifier system at varying
                       threshold values.
                       • The deployment phase of the AI project cycle is when the AI model is put into use in a real-world setting.
                       • AI Project Cycle Mapping Template presents how different stages are related to each other and how the functions
                       performed in every phase form an input for the next phase.
                       • Ethics are rules about what is right and wrong. AI ethics are rules about using artificial intelligence (AI) in a good
                       way.
                       • AI bias is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced towards
                       certain gender, language, race, wealth, etc., and therefore, produces skewed or learned output.







                                                              Exercise




                                                         Solved Questions


                                                  SECTION A (Objective Type Questions)
                          uiz

                 A.  Tick ( ) the correct option.
                    1.  Which of the following is the ability of intelligence?
                       a.  To learn                                      b.  To think
                       c.  To solve problems                             d.  All of these

                    2.  Which of the following refers to the simulation of human intelligence processes by machines?
                       a.  Intelligence                                  b.  Machine
                       c.  Artificial Intelligence                       d.  Processing the data

                    3.  Who is the father of Artificial Intelligence?
                       a.  John McCarthy                                 b.  Mark Zuckerberg
                       c.  Alan Turing                                   d.  Nick Bostrom


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