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AI is a bigger picture and machine learning and deep learning are its sub parts. AI, machine learning and deep
              learning are the subset of each other. Deep Learning is the next evolution of machine learning.
              In order to understand the difference between the two let us take help of the table given below.


                      Parameters                   Deep Learning                        Machine Learning

                                         When the size of the data is small,   Machine Learning algorithm can easily work
                                         a deep learning algorithm does not  with smaller data set.
               Data Dependency           perform well as a deep learning
                                         algorithm needs large amounts of
                                         data to understand perfectly.

                                         Deep Learning algorithms are heavily  Machine  Learning  algorithms  can  work  on
               Hardware Dependency
                                         dependent on high-end machines.    low end machines as well.

                                         Deep Learning algorithm solves the  When we are solving a  problem using a
                                         problem end to end.                traditional  machine  learning  algorithm  it is
               Problem Solving                                              generally recommended that we first break
               Approach                                                     down  the  problem into  different  sub  parts
                                                                            and solve them individually and then finally
                                                                            combine them to get the desired result.

                                         Usually,  Deep  Learning  algorithms  Machine Learning algorithms take much less
                                         take a long time  to train because  time to train.
               Execution Time
                                         there are many parameters making
                                         the training time longer than usual.



                       Domains of AI


              Based on the data given to AI system, it can be classified into 3 domains: Data Science, Computer Vision (CV)
              and Natural Language Processing (NLP).  Let us learn about them in detail.


              Data Science
              Data Science is the domain of artificial intelligence that processes the given data to find solutions or predict
              the outcomes for a problem statement. The type of data that can be used is numeric and alphanumeric. It deals
              with data systems and processes, in which the system collects numerous data, maintains data sets and derives
              meaning/sense out of them. The information extracted through data can be used to make a decision about it.




















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