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At a Glance

                    •  Artificial Intelligence is a branch of computer science by which we can create intelligent machines which can
                     behave like a human, think like humans, and able to make decisions.
                    •  There are three types of AI—Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Super
                     Intelligence.
                    •  Just  about  all  of  the  AI-based  methods  built  till  this  date  fall  below  the  category  of  Artificial  Narrow
                     Intelligence.
                    •  A neural network is a system of neurons working in the form of a network. A neural net consists of thousands
                     or even millions of simple processing nodes that are densely interconnected.
                    •  Data is a collection of raw facts and figures. Data can be structured and unstructured.
                    •  Machine  learning  is  an  application  of  artificial  intelligence  (AI)  that  provides  systems  the  ability  to
                     automatically learn and improve from experience without being explicitly programmed.
                    •  There are three types of machine leaning—supervised, unsupervised and reinforcement.
                    •  Deep Learning is a subset of ML. In DL, models are trained by using a large set of labelled data and neural
                     network architectures that contain many layers.
                    •  In  Traditional  programming  one  has  to  manually  formulate  code  rules  while  in  Machine  Learning  the
                     algorithms automatically formulate the rules from the data.


                                                           Exercise




                                                       Solved Questions


                                                SECTION A (Objective Type Questions)
                        uiz
              A.   Tick ( ) the correct option.
                   1.   What is divided into multiple layers and each layer is further divided into several blocks called as nodes.?

                        a.  Neural Network                             b.  Convolutional Neural Network (CNN)
                        c.  Machine learning algorithm                 d.  Hidden layers
                   2.   Which of these jobs could be taken by a robot using AI?
                        a.  Teacher                                    b.  Doctor
                        c.  Nurse                                      d.  All of these

                   3.   In             , the machine is trained with huge amounts of data which helps it in training itself around the
                       data.

                        a.  Supervised Learning                        b.  Deep Learning
                        c.  Classification                             d.  Unsupervised Learning
                   4.   What do you understand by Back-propagation in a neural network?
                        a.  The error is removed and new errors are computed in hidden layers
                        b.  The error is sent back in the hidden layers and the weights are updated to reduce the error

                        c.  The error is sent back to the input layer so that a new value can be entered again by the user
                        d.  None of these





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