Page 365 - Ai_V3.0_c11_flipbook
P. 365

C.   Competency-based/Application-based questions:                   #Problem Solving & Logical Reasoning

                    1.  The diagrams used in KNN algorithm and K-means are very similar. An employee in Teeksha Global Tech was facing
                       high ambiguity, as to when we should use either of these as both of these lead to classification. Could you guide her
                       with some examples, which algorithm to use and when?
                    2.  In a futuristic city, the SmartCommute (City bus service) optimizes bus routes, adjusting to new routes based on traffic
                       conditions from real-time feedback. One day, a sudden storm caused traffic chaos, but the system quickly adapted and
                       maintained efficient service. Name the type of Machine Learning used by it.
                       Assertion and reasoning questions:
                       Direction: Questions 3-4, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions selecting
                       the appropriate option given below:
                       a. Both A and R are true and R is the correct explanation of A.

                       b. Both A and R are true but R is not the correct explanation of A.
                       c. A is true but R is false.
                       d. A is false but R is true.
                    3.  Assertion(A):  Causation states that any change in the value of one variable will definitely cause a change in the value
                                   of the second variable.
                       Reasoning(R):  The  correlation  is  a  statistical  method  that  indicates  whether  a  pair  of  variables  has  a  quadratic
                                    relationship with each other.

                    4.  Assertion(A):  Linear  Regression  method  finds  the  most  accurate  straight  line  that  best  describes  the  relationship
                                   between the dependent and the independent variables, with minimum error.

                       Reasoning(R):  Linear Regression has its limitations, but its simplicity, interpretability, and efficiency often exceed these
                                    limitations.
                       Direction: Questions 5-6 below, consist of two statements
                       Two statements are given . Statement 1 and Statement 2 . Examine the statements and answer the question according
                       to the instruction given below.
                       a. Statement 1 is TRUE , Statement 2 is TRUE

                       b. Statement 1 is FALSE , Statement 2 is FALSE
                       c. Statement 1 is TRUE , Statement 2 is FALSE
                       d. Statement 1 is FALSE , Statement 2 is TRUE
                    5.  Statement 1: It is inefficient to train the machine on Linear Regression model.
                       Statement 2: Linear Regression Model is quite prone to overfitting.

                    6.  Statement 1:  Clustering is an unsupervised machine learning technique that automatically divides the data into clusters
                                   or groups of similar elements.
                       Statement 2: The biggest advantage of the K-means algorithm is that it can cluster large data sets quite efficiently.


                                   In Life                                                #Interdisciplinary



                     Have you heard about DNA Sequence Classification? Find out about this topic and present your findings in
                     class.



                                                                                  Machine Learning Algorithms   363
   360   361   362   363   364   365   366   367   368   369   370