Learn Machine Learning MCQ Questions with answers and solutions.

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Q. Imagine a Newly-Born starts to learn walking. It will try to find a suitable policy to learn walking after repeated falling and getting up.specify what type of machine learning is best suited?

(A) classification
(B) regression
(C) kmeans algorithm
(D) reinforcement learning

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Q. What are the popular algorithms of Machine Learning?

(A) decision trees and neural networks (back propagation)
(B) probabilistic networks and nearest neighbor
(C) support vector machines
(D) all

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Q. A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?

(A) 12
(B) 24
(C) 48
(D) 72

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Q. In machine learning, an algorithm (or learning algorithm) is said to be unstable if a small change in training data cause the large change in the learned classifiers. True or False: Bagging of unstable classifiers is a good idea

(A) TRUE
(B) accuracy
(C) ---
(D) ---

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Q. Machine learning techniques differ from statistical techniques in that machine learning methods

(A) typically assume an underlying distribution for the data.
(B) when a statistical model describes random error or noise instead of underlying relationship
(C) are not able to explain their behavior.
(D) have trouble with large-sized datasets.

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Q. What is Model Selection in Machine Learning?

(A) The process of selecting models among different mathematical models, which are used to describe the same data set
(B) Interference
(C) Find interesting directions in data and find novel observations/ database cleaning
(D) All above

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Q. In simple term, machine learning is

(A) training based on historical data
(B) prediction to answer a query
(C) both A and B
(D) automization of complex tasks

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Q. Which of the following is the best machine learning method?

(A) scalable
(B) accuracy
(C) fast
(D) all of the above

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Q. The output of training process in machine learning is

(A) machine learning model
(B) machine learning algorithm
(C) null
(D) accuracy

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Q. Application of machine learning methods to large databases is called

(A) data mining.
(B) artificial intelligence
(C) big data computing
(D) internet of things

Machine Learning MCQs with answers Page - 6

Q. Imagine a Newly-Born starts to learn walking. It will try to find a suitable policy to learn walking after repeated falling and getting up.specify what type of machine learning is best suited?

Q. What are the popular algorithms of Machine Learning?

Q. A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?

Q. In machine learning, an algorithm (or learning algorithm) is said to be unstable if a small change in training data cause the large change in the learned classifiers. True or False: Bagging of unstable classifiers is a good idea

Q. Machine learning techniques differ from statistical techniques in that machine learning methods

Q. What is Model Selection in Machine Learning?

Q. In simple term, machine learning is

Q. Which of the following is the best machine learning method?

Q. The output of training process in machine learning is

Q. Application of machine learning methods to large databases is called

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