Question 1

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

Accepted Answer

A) mini-batches 
B) optimizedparameters 
C) hyperparameters 
D) superparameters 
A) mini-batches 
B) optimizedparameters 
C) hyperparameters 
D) superparameters C

Question 2

Which of the following is a reasonable way to select the number of principal components "k"?

Accepted Answer

A) Choose k to be the smallest value so that at least 99% of the varinace is retained. 
B) Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer). 
C) Choose k to be the largest value so that 99% of the variance is retained. 
D) Use the elbow method. 
A) Choose k to be the smallest value so that at least 99% of the varinace is retained. 
B) Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer). 
C) Choose k to be the largest value so that 99% of the variance is retained. 
D) Use the elbow method. A

Question 3

What is true about Machine Learning?

Accepted Answer

A) Machine Learning (ML) is that field of computer science 
B) ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. 
C) The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. 
D) All of the above 
A) Machine Learning (ML) is that field of computer science 
B) ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. 
C) The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. 
D) All of the above D

Question 4

Which of the following can be used to impute data sets based only on information in the training set?

Accepted Answer

A) postprocess 
B) preProcess 
C) process 
D) All of the Mentioned 
A) postprocess 
B) preProcess 
C) process 
D) All of the Mentioned

Question 5

Which of the following is a disadvantage of decision trees?

Accepted Answer

A) Factor analysis 
B) Decision trees are robust to outliers 
C) Decision trees are prone to be overfit 
D) None of the above 
A) Factor analysis 
B) Decision trees are robust to outliers 
C) Decision trees are prone to be overfit 
D) None of the above

Question 6

ML is a field of AI consisting of learning algorithms that?

Accepted Answer

A) Improve their performance 
B) At executing some task 
C) Over time with experience 
D) All of the above 
A) Improve their performance 
B) At executing some task 
C) Over time with experience 
D) All of the above

Question 7

The action _______ of a robot arm specify to Place block A on block B.

Accepted Answer

A) STACK(A,
B)  
B) LIST(A,
B)  
C) QUEUE(A,
B)  
D) ARRAY(A,
B)  
A) STACK(A,
B)  
B) LIST(A,
B)  
C) QUEUE(A,
B)  
D) ARRAY(A,
B)

Question 8

Which of the following function provides unsupervised prediction ?

Accepted Answer

A) cl_forecast 
B) cl_nowcast 
C) cl_precast 
D) None of the Mentioned 
A) cl_forecast 
B) cl_nowcast 
C) cl_precast 
D) None of the Mentioned

Question 9

Which of the following model model include a backwards elimination feature selection routine?

Accepted Answer

A) MCV 
B) MARS 
C) MCRS 
D) All of the Mentioned 
A) MCV 
B) MARS 
C) MCRS 
D) All of the Mentioned

Question 10

To find the minimum or the maximum of a function, we set the gradient to zero because:

Accepted Answer

A) The value of the gradient at extrema of a function is always zero 
B) Depends on the type of problem 
C) Both A and B 
D) None of the above 
A) The value of the gradient at extrema of a function is always zero 
B) Depends on the type of problem 
C) Both A and B 
D) None of the above

Question 11

In which of the following cases will K-means clustering fail to give good results?
1) Data points with outliers
2) Data points with different densities
3) Data points with nonconvex shapes

Accepted Answer

A) 1 and 2 
B) 2 and 3 
C) 1 and 3 
D) All of the above 
A) 1 and 2 
B) 2 and 3 
C) 1 and 3 
D) All of the above

Question 12

A model of language consists of the categories which does not include ________.

Accepted Answer

A) System Unit 
B) structural units. 
C) data units 
D) empirical units 
A) System Unit 
B) structural units. 
C) data units 
D) empirical units

Question 13

Data Analysis is a process of?

Accepted Answer

A) inspecting data 
B) cleaning data 
C) transforming data 
D) All of the above 
A) inspecting data 
B) cleaning data 
C) transforming data 
D) All of the above

Question 14

Which of the following techniques can not be used for normalization in text mining?

Accepted Answer

A) Stemming 
B) Lemmatization 
C) Stop Word Removal 
D) None of the above 
A) Stemming 
B) Lemmatization 
C) Stop Word Removal 
D) None of the above

Question 15

Which of the following are ML methods?

Accepted Answer

A) based on human supervision 
B) supervised Learning 
C) semi-reinforcement Learning 
D) All of the above 
A) based on human supervision 
B) supervised Learning 
C) semi-reinforcement Learning 
D) All of the above

Question 16

A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.

Accepted Answer

A) bottow-up parser 
B) top parser 
C) top-down parser 
D) bottom parser 
A) bottow-up parser 
B) top parser 
C) top-down parser 
D) bottom parser

Question 17

Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

Accepted Answer

A) Decision Tree 
B) Regression 
C) Classification 
D) Random Forest 
A) Decision Tree 
B) Regression 
C) Classification 
D) Random Forest

Question 18

p ? 0q is not a?

Accepted Answer

A) hack clause 
B) horn clause 
C) structural clause 
D) system clause 
A) hack clause 
B) horn clause 
C) structural clause 
D) system clause

Question 19

What is a sentence parser typically used for?

Accepted Answer

A) It is used to parse sentences to check if they are utf-8 compliant. 
B) It is used to parse sentences to derive their most likely syntax tree structures. 
C) It is used to parse sentences to assign POS tags to all tokens. 
D) It is used to check if sentences can be parsed into meaningful tokens. 
A) It is used to parse sentences to check if they are utf-8 compliant. 
B) It is used to parse sentences to derive their most likely syntax tree structures. 
C) It is used to parse sentences to assign POS tags to all tokens. 
D) It is used to check if sentences can be parsed into meaningful tokens.

Question 20

Different learning methods does not include?

Accepted Answer

A) Introduction 
B) Analogy 
C) Deduction 
D) Memorization 
A) Introduction 
B) Analogy 
C) Deduction 
D) Memorization

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

Which of the following is a reasonable way to select the number of principal components "k"?

What is true about Machine Learning?

Which of the following can be used to impute data sets based only on information in the training set?

Which of the following is a disadvantage of decision trees?

ML is a field of AI consisting of learning algorithms that?

The action _______ of a robot arm specify to Place block A on block B.

Which of the following function provides unsupervised prediction ?

Which of the following model model include a backwards elimination feature selection routine?

To find the minimum or the maximum of a function, we set the gradient to zero because:

In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes

A model of language consists of the categories which does not include ________.

Data Analysis is a process of?

Which of the following techniques can not be used for normalization in text mining?

Which of the following are ML methods?

A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.

Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

p ? 0q is not a?

What is a sentence parser typically used for?

Different learning methods does not include?

Understanding the Basics and Technologies

Data Science

Data Analysis and Visualization

Filters

Exam 3: Machine Learning and Data Analysis

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

Which of the following is a reasonable way to select the number of principal components "k"?

What is true about Machine Learning?

Which of the following can be used to impute data sets based only on information in the training set?

Which of the following is a disadvantage of decision trees?

ML is a field of AI consisting of learning algorithms that?

The action _______ of a robot arm specify to Place block A on block B.

Which of the following function provides unsupervised prediction ?

Which of the following model model include a backwards elimination feature selection routine?

To find the minimum or the maximum of a function, we set the gradient to zero because:

In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes

A model of language consists of the categories which does not include ________.

Data Analysis is a process of?

Which of the following techniques can not be used for normalization in text mining?

Which of the following are ML methods?

A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.

Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

p ? 0q is not a?

What is a sentence parser typically used for?

Different learning methods does not include?

Understanding the Basics and Technologies

Data Science

Data Analysis and Visualization

Filters