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UNIT-6



                                                              MACHINE LEARNING



                                                                       ALGORITHMS










                                  Learning Outcomes




                     •  Machine Learning in a Nutshell            •  Types of Machine Learning
                     •  Regression                                •  Correlation
                     •  Classification                            •  Unsupervised Learning—Clustering
                     •  K-Means Clustering                        •  Why is Clustering Unsupervised?

                 Machine learning (ML) is a subset of Artificial Intelligence that allows computers to learn and make judgments based
                 on data. It involves algorithms that can identify patterns, anticipate outcomes, and improve over time without being
                 specifically  coded for specific  tasks.  Here's  a  real-world example,  assume  you  have a  personal  assistant  who  can
                 foresee your wants, provide solutions, and even forecast issues before they arise. This is what machine learning can
                 achieve, making it a valuable tool in today's technologically advanced world.
                 Machine learning has the capacity to extract information from huge datasets and perform complicated operations
                 that  transform  various  industries  ranging  from  healthcare  and  banking  to  transportation  and  entertainment.  As
                 researchers continue to invent and improve these algorithms, machine learning's impact on society is set to grow,
                 ushering in a period of extraordinary creativity and opportunity.


                         Machine Learning in a Nutshell


                 Machine learning is a subdomain of Artificial Intelligence (AI) that focuses on developing systems that learn or improve
                 performance based on the data they ingest. It is an application of Artificial Intelligence (AI) that enables systems to learn
                 and improve automatically from experience without the need for explicit programming. It focuses on the development
                 of computer programs that can access data and use it to learn for itself. Data is critical for machine learning to work.
                 The more data the machine is given (assuming that the data is reliable), the more accurate its prediction is. Artificial
                 Intelligence is a broad word that refers to systems or machines that resemble human intelligence. A crucial distinction
                 between Artificial Intelligence and Machine Learning is that all ML is AI, but not all AI is ML.
                                               Artificial
                                             Intelligence                  Intelligent machines that think
                                                                             and act like human beings


                                               Machine                      Systems learn things without
                                               Learning                     being programmed to do so





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