22 + Interview Questions in Enlightenment Machine Learning in Important Topics Page 1 InterviewSolution

1.	Which of the following machine learning models would you suggest to predict a category?
Answer» Which of the following machine learning models would you suggest to predict a CATEGORY? CHOOSE the correct answer from below list (1)CLASSIFICATION (2)Clustering (3)Regression Answer:-(1)Classification

Discussion

2.	_____________ is a tool for turning information into knowledge.
Answer» _____________ is a tool for turning information into knowledge. Choose the CORRECT answer from below LIST (1)Machine LEARNING (2)DATA Transformation (3)Data Analysis Answer:-(1)Machine Learning

Discussion

3.	Classification predicts ____________.
Answer» Classification predicts ____________. CHOOSE the correct answer from below LIST (1)CONTINUOUS VARIABLES (2)Categorical Variables Answer:-(2)Categorical Variables

Discussion

4.	_____________ aids in identifying the associations, correlations, and frequent patterns
Answer» _____________ AIDS in identifying the associations, correlations, and frequent PATTERNS in data. Choose the correct ANSWER from below list (1)Classification (2)Association Rule Mining (3)Clustering Answer:-(2)Association Rule Mining

Discussion

5.	Which machine learning technique would you suggest to develop a machine which detects
Answer» Which machine learning technique would you suggest to develop a machine which detects the SUDDEN increase or decrease in HEARTBEAT? Choose the correct answer from below list (1)Regression Analysis (2)Classification (3)OUTLIER DETECTION Answer:-(3)Outlier Detection

Discussion

6.	Machine Learning is a subset of _____________.
Answer» Machine Learning is a SUBSET of _____________. Choose the CORRECT answer from below list (1)ARTIFICIAL Intelligence (2)Deep Learning Answer:-(1)Artificial Intelligence

Discussion

7.	____________ learning aids in uncovering hidden patterns from unlabeled data.
Answer» ____________ LEARNING aids in uncovering hidden patterns from unlabeled data. Choose the correct answer from below LIST (1)REINFORCEMENT (2)Supervised (3)UNSUPERVISED Answer:-(3)Unsupervised

Discussion

8.	The field of study that gives computers the ability to learn without being explicitly programmed is ___________.
Answer» The field of study that gives COMPUTERS the ability to learn WITHOUT being explicitly programmed is ___________. Choose the correct answer from below list (1)Data Engineering (2)Data Analysis (3)MACHINE Learning Answer:-(3)Machine Learning

Discussion

9.	Clustering is a/an ____________ learning method.
Answer» CLUSTERING is a/an ____________ learning method. Choose the correct answer from below list (1)SUPERVISED (2)Unsupervised Answer:-(2)Unsupervised

Discussion

10.	A marketing company wants to group its customers into various groups to advertise accordingly.
Answer» A marketing company wants to group its CUSTOMERS into various groups to advertise accordingly. Which machine LEARNING technique would you suggest for the company? Choose the correct answer from below list (1)Classification (2)Regression (3)Clustering Answer:-(3)Clustering

Discussion

11.	The derived relationships from Association Rule Mining are represented in the form of ___________.
Answer» The derived relationships from Association RULE MINING are represented in the form of ___________. Choose the CORRECT answer from below list (1)DECISION Trees (2)Association Rules (3)Data Rules Answer:-(2)Association Rules

Discussion

12.	Decision Trees are a non-parametric ____________ learning method used for classification and regression.
Answer» Decision Trees are a non-parametric ____________ LEARNING method USED for classification and regression. Choose the correct answer from below list (1)Unsupervised (2)SUPERVISED Answer:-(2)Supervised

Discussion

13.	______________ outlier deviates significantly from the entire dataset.
Answer» ______________ outlier deviates significantly from the entire dataset. Choose the correct answer from below list (1)CONTEXTUAL (2)GLOBAL Answer:-(2)Global

Discussion

14.	____________ learning blends rules created by humans with data to develop answers to a problem.
Answer» ____________ learning BLENDS rules created by HUMANS with DATA to develop answers to a problem. Choose the CORRECT answer from below list (1)Traditional (2)Machine Answer:-(1)Traditional

Discussion

15.	____________ learning uses data and answers to uncover the rules that build a problem.
Answer» ____________ learning uses data and answers to UNCOVER the rules that BUILD a problem. Choose the correct answer from below list (1)Traditional (2)MACHINE Answer:-(2)Machine

Discussion

16.	Linear Regression helps in predicting the ____________ output.
Answer» Linear Regression helps in PREDICTING the ____________ output. Choose the correct ANSWER from below LIST (1)Continuous (2)Discrete Answer:-(1)Continuous

Discussion

17.	Which learning would you suggest the user for grouping customers into distinct
Answer» Which learning would you suggest the USER for grouping customers into DISTINCT categories (Clustering)? Choose the CORRECT answer from below list (1)Supervised (2)Unsupervised Answer:-(2)Unsupervised

Discussion

18.	____________ learning uses the function that is inferred from labeled training data consisting of a set of training exam
Answer» ____________ learning uses the function that is inferred from labeled TRAINING data consisting of a set of training examples. Choose the correct answer from below list (1)SUPERVISED (2)Reinforcement (3)Unsupervised Answer:-(1)Supervised

Discussion

19.	Support Vector Machine is used for ____________ type(s) of problems.
Answer» SUPPORT Vector Machine is used for ____________ type(s) of problems. Choose the CORRECT answer from below LIST (1)CLASSIFICATION and Regression (2)Regression (3)Classification Answer:-(1)Classification and Regression

Discussion

20.	An observation that deviates significantly from other observations in the dataset is known as ____________.
Answer» An OBSERVATION that deviates significantly from other OBSERVATIONS in the DATASET is KNOWN as ____________. Choose the CORRECT answer from below list (1)Label (2)Category (3)Outlier Answer:-(3)Outlier

Discussion

21.	A credit card company receives thousands of applications for new credit card issue with attributes like salary, debts et
Answer» A credit card COMPANY receives thousands of applications for new credit card issue with attributes like salary, debts etc. Which machine LEARNING technique would you suggest to CATEGORIZE applications into good credit and bad credit. Choose the correct answer from below LIST (1)Classification (2)Outlier Detection Answer:-(1)Classification

Discussion

22.	______________ is given a system of rewards and punishments.
Answer» ______________ is GIVEN a system of rewards and punishments. Choose the correct answer from below list (1)Supervised Learning (2)UNSUPERVISED Learning (3)REINFORCEMENT Learning Answer:-(3)Reinforcement Learning

Discussion

Explore topic-wise InterviewSolutions in .

Which of the following machine learning models would you suggest to predict a category?

_____________ is a tool for turning information into knowledge.

Classification predicts ____________.

_____________ aids in identifying the associations, correlations, and frequent patterns

Which machine learning technique would you suggest to develop a machine which detects

Machine Learning is a subset of _____________.

____________ learning aids in uncovering hidden patterns from unlabeled data.

The field of study that gives computers the ability to learn without being explicitly programmed is ___________.

Clustering is a/an ____________ learning method.

A marketing company wants to group its customers into various groups to advertise accordingly.

The derived relationships from Association Rule Mining are represented in the form of ___________.

Decision Trees are a non-parametric ____________ learning method used for classification and regression.

______________ outlier deviates significantly from the entire dataset.

____________ learning blends rules created by humans with data to develop answers to a problem.

____________ learning uses data and answers to uncover the rules that build a problem.

Linear Regression helps in predicting the ____________ output.

Which learning would you suggest the user for grouping customers into distinct

____________ learning uses the function that is inferred from labeled training data consisting of a set of training exam

Support Vector Machine is used for ____________ type(s) of problems.

An observation that deviates significantly from other observations in the dataset is known as ____________.

A credit card company receives thousands of applications for new credit card issue with attributes like salary, debts et

______________ is given a system of rewards and punishments.