Page 147 - Artificial Intellegence_v2.0_Class_12
P. 147

Unsolved Questions


                                              SECTION A (Objective Type Questions)
                     ui

            A.   Tick ( ) the correct option.
                 .    hoose the  orrect Option.                                                      ample  aper,
                     a.  Data  equirements    Data  ollection    Data understanding    Data preparation
                     b.   Data  equirements    Data understanding    Data  ollection   Data preparation
                     c.  Data  equirement    Data Deployment   Data  ollection    Data  athering
                     d.   Data  ollection    Data  equest    Data  iltering    Data  valuation

                 .    hich stage in Design  hinking is missing   rototype, Ideate,  est, Define           ample  aper,
                     a.   valuation                                  b.    mpathise
                     c.   volution                                   d.    nrichment

                 .   If your  eural  et ork model seems to have high variance,  hich of the follo ing  ould
                     be promising things to try                                                      ample  aper,
                     a.   ake the  eural  et ork deeper
                     b.    et more training data
                     c.   et more test data
                     d.   Increase the number of units in each hidden layer
                 .   A random sample of n   taken from the population has the elements  ,   ,   ,   ,   ,   .
                      hen,  hich option is  alse                                                     ample  aper,
                     a.   oint estimate for population mean is   .
                     b.    oint estimate for population standard deviation is  .
                     c.   oint estimate for population standard deviation is  .
                     d.    oint estimate for standard error of mean is  .

                 .    he follo ing data is used to apply a linear regression algorithm  ith least squares regression
                     line   a  .  hen, the appro imate value of a  is given by    Independent variable,
                       Dependent variable).                                                          ample  aper,
                                                            1
                                                            1

                     a.    .                                         b.     .
                     c.    .                                         d.     .

            B.   Fill in the blanks.
                 .    he               dataset is used to evaluate the model and ad ust it as necessary.

                 .    ince the model cannot modify its values during learning,      are said to be e ternal to the model.
                 .                  cannot be a negative value.
                 .    he model is              into the production environment or an equivalent test environment once it has been
                     built.

                 .                  means handling missing or invalid values, removing duplicates, applying correct formats after the
                     data has been collected.

                                                                                       C apstone  P roj e ct
   142   143   144   145   146   147   148   149   150   151   152