Page 114 - Artificial Intellegence_v2.0_Class_11
P. 114

Machine Learning

              Machine learning 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 this data is reliable), the more accurate is its prediction.
                                            Artificial
                                           Intelligence                  Intelligent machines that think
                                                                          and act like human beings


                                             Machine                     Systems learn things without
                                             Learning                    being programmed to do so





              Machine Learning Process
              Machine Leaning follows a process which is displayed in the following diagram:
                                                                1. Preparing data
                                          Machine Learning Process  3. Generating a set of instructions (the model)

                                                               2. Training an algorithm








                                                    4. Using features to make and refine predictions
                                                    until the model can accurately make predictions
                                                               on new input data

              Features of Machine Learning
              Following are the features of Machine Learning:
                 • It is the science of having machines interpret, analyse and process data as a way to fix real-world problems.

                 • It learns from data and improve over time. These learnings can be used for automation or prediction.
                 • It is the dominant mode of AI today.
                 • It uses data analysis, training, and human review to learn without following specific rules or steps.


                      Conventional Programming Vs Machine Learning

              Conventional programming is a manual process—meaning a person (programmer) creates the program. But without
              anyone programming the logic, one has to manually formulate or code rules.
                                             Input            Program            Output

              In  machine  learning,  on  the  other  hand,  the  algorithm  automatically  formulates  the  rules  from  the  data.  Unlike
              traditional programming, machine learning is an automated process.

                                             Input            Output            Program




                    112     Touchpad Artificial Intelligence (Ver. 2.0)-XI
   109   110   111   112   113   114   115   116   117   118   119