ML Foundation Set 1 (Answers)

Question 1

Among the following option identify the one which is NOT a type of learning?

a) Semi unsupervised learning
b) Supervised learning
c) Reinforcement learning
d) Unsupervised learning

Answer 1

a) Semi unsupervised learning

Question 2

Identify the kind of learning algorithm for “facial identities for facial expressions”.

a) Prediction
b) Recognise patterns
c) Recognising anomalies
d) Generating patterns

Answer 2

b) Recognise patterns

Question 3

Identify the model which is trained with data in only a single batch.

a) Offline learning
b) Batch learning
c) Both A and B
d) None

Answer 3

c) Both offline learning and batch learning

Question 4

What is the application of machine learning methods to a large database called?

a) Big data computing
b) Internet of things
c) Data mining
d) Artificial intelligence

Answer 4

c) Data mining

Question 5

Identify the type of learning in which labeled training data is used.

a) Semi unsupervised learning
b) Supervised learning
c) Reinforcement learning
d) Unsupervised learning

Answer 5

b) Supervised learning

Question 6

In Principal Component Analysis (PCA) the number of input dimensions is equal to principal components. True or False?

Answer 6

True

Question 7

Among the following identify the one in which dimensionality reduction reduces.

a) Performance
b) Entropy
c) Stochastics
d) Collinearity

Answer 7

d) Collinearity

Question 8

Which of the following machine learning algorithm is based upon the idea of bagging?

a) Decision tree
b) Random forest
c) Classification
d) Regression

Answer 8

b) Random forest

Question 9

Choose a disadvantage of decision trees:

a) Decision trees are robust to outliers
b) Factor analysis
c) Decision trees are prone to overfit
d) All of the above

Answer 9

c) Decision trees are prone to overfitting

Question 10

What is the term known as on which the machine learning algorithms build a model based on sample data?

a) Data training
b) Training data
c) Transfer data
d) None of the above

Answer 10

b) Training data

Question 11

Machine learning is a subset of which of the following.

a) Artificial intelligence
b) Deep learning
c) Data learning
d) None of the above

Answer 11

a) Artificial intelligence

Question 12

Which of the following machine learning techniques helps in detecting the outliers in data?

a) Classification
b) Clustering
c) Anatomy detection
d) All of the above

Answer 12

c) Anatomy detection

Question 13

The father of machine learning is _____________

a) Geoffrey Everest Hinton
b) Geoffrey Hill
c) Geoffrey Chaucer
d) None of the above

Answer 13

a) Geoffrey Everest Hinton

Question 14

The most significant phase in genetic algorithm is _________

a) Mutation
b) Selection
c) Fitness function
d) Crossover

Answer 14

d) Crossover

Question 15

Which of the following are common classes of problems in machine learning?

a) Regression
b) Classification
c) Clustering
d) All of the above

Answer 15

d) All of the above

Question 16

Among the following options identify the one which is FALSE regarding regression.

a) It is used for prediction
b) It is used for interpretation
c) It relates inputs to outputs
d) It discovers casual relationships

Answer 16

d) It discovers casual relationships

Question 17

Identify the successful applications of ML.

a) Learning to classify new astronomical structures
b) Learning to recognize spoken words
c) Learning to drive an autonomous vehicle
d) All of the above

Answer 17

d) All of the above

Question 18

Identify the incorrect numerical functions in the various function representation of machine learning.

a) Case-based
b) Support vector machines
c) Linear regression
d) Neural network

Answer 18

a) Case-based

Question 19

FIND-S algorithm ignores?

a) Positive
b) Negative
c) Both
d) None

Answer 19

b) Negative

Question 20

Select the correct definition of neuro software.

a) It is software used by neurosurgeons
b) It is software used to analyze neurons
c) It is a powerful and easy neural network
d) None of the above

Answer 20

c) It is a powerful and easy neural network

Question 21

The backpropagation law is also known as the
generalized Delta rule. True or False?

Answer 21

True

Question 22

Choose the general limitations of the backpropagation rule among the following.

a) Slow convergence
b) Scaling
c) Local minima problem
d) All of the above

Answer 22

d) All of the above

Question 23

Analysis of ML algorithm needs?

a) Statistical learning theory
b) Computational learning theory
c) Both A and B
d) None of the above

Answer 23

c) Both statistical learning theory and computational learning theory

Question 24

Choose the most widely used mattress and tools to assess the classification models.

a) The area under the ROC curve
b) Confusion matrix
c) Cost-sensitive accuracy
d) All of the above

Answer 24

d) All of the above

Question 25

Full form of PAC is _____________ a) Probably Approximate Cost b) Probably Approximate Correct c) Probably Approximate Communication d) Probably Approximate Computation

Answer 25

b) Probably Approximate Correct

Question 26

True error is defined over the entire instance space, and not just over training data. True or False?

Answer 26

True

Question 27

Choose the options below of which the area CLT is comprised of. a) Mistake bound b) Sample complexity c) Computational complexity d) All of the above

Answer 27

d) All of the above

Question 28

Choose the instance-based learner. a) Eager learner b) Lazy learner c) Both A and B are correct d) None of the above

Answer 28

b) Lazy learner

Question 29

Identify the difficulties with the k-nearest neighbor algorithm. a) Curse of dimensionality b) Calculate the distance of the test case from all training cases c) Both A and B d) None of the above

Answer 29

c) Both A and B

Question 30

The total types of the layer in radial basis function neural networks is ______ a) 1 b) 2 c) 3 4) 4

Answer 30

c) 3

Question 31

Which of the following is an application of Case-based reasoning (CBR)? a) Diagnosis b) Design c) Planning d) All of the above

Answer 31

b) Design

Question 32

Choose the correct advantages of CBR. a) Fast to train b) A local approximation is found for each test case c) Knowledge is in a form understanding by human d) All of the above

Answer 32

d) All of the above

Question 33

Machine learning as various Search and Optimisation algorithms. Identify among the following which is NOT evolutionary computation. a) Genetic algorithm b) Generic programming c) Neuroevolution d) Perception

Answer 33

d) Perception

Question 34

Artificial intelligence is the process that allows a computer to learn and make decisions like humans. True or False?

Answer 34

True

Question 35

Which of the following is not machine learning disciplines? a) Information theory b) Optimisation + control c) Physics d) Neuro statistics

Answer 35

d) Neuro statistics

Question 36

What does K stand for in K mean algorithm? a) Number of clusters b) Number of data c) Number of attributes d) Number of iterations

Answer 36

a) Number of clusters

Question 37

Decision tree cannot be used for clustering. True or False?

Answer 37

False

Question 38

Identify the clustering method which takes care of variance in data. a) Decision tree b) Gaussian mixture model c) K means d) All of the above

Answer 38

b) Gaussian mixture model

Question 39

Which of the following is NOT a supervised learning? a) PCA b) Naïve Bayesian c) Linear regression d) Decision tree

Answer 39

a) PCA

Question 40

What is unsupervised learning? a) Number of groups may be known b) Features of group explicitly stated c) Neither feature nor number of groups is known d) None of the above

Answer 40

c) Neither feature nor number of groups is known

Question 41

Which of the following is not a machine learning algorithm? a) Support Vector Machine (SVM) b) Scalable Vector Graphics (SVG) c) Random Test d) None of the above

Answer 41

b) SVG

Question 42

What is true about Machine Learning? a) Artificial intelligence b) Rule-based inference c) Both A and B d) None of the above

Answer 42

c) Both artificial intelligence and rule-based inference

Question 43

Which of the following is not machine learning? a) Artificial intelligence b) Rule-based inference c) Both A and B d) None of the above

Answer 43

b) Rule-based inference

Question 44

Identify the method which is used for trainControl resampling. a) svm b) repeatedcv c) Bag32 d) None of the above

Answer 44

b) repeatedcv

Question 45

Among the following option identify the one which is used to create the most common graph types. a) Plot b) Quickplot c) Qplot d) All of the above

Answer 45

c) Qplot