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CS 7641 Machine Learning Unit 1 Exam Practice Questions
(2026-2027 Verified Update!!!!!)
Instructions: This exam consists of multiple-choice questions.
Choose the best answer for each question. The questions are
organized by the major topic areas within Unit 1: Supervised
Learning (Lessons 0–10).
Section 1: Machine Learning Foundations & Concept Learning
(Questions)
1. What is the process of moving from a given series of
specifics to a generalization called?
A) Deduction
B) Induction
C) Abduction
D) Transduction
Answer: B
Rationale: Induction is the process that moves from a given
series of specifics to a generalization. Deduction moves from a
general rule to a specific example.
2. What is the process of moving from a general rule to a
specific example called?
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A) Induction
B) Deduction
C) Abduction
D) Analogy
Answer: B
Rationale: Deduction is the process of moving from a general
rule to a specific example.
3. What type of learning uses labeled training data to
generalize labels to new instances?
A) Unsupervised Learning
B) Reinforcement Learning
C) Supervised Learning
D) Semi-supervised Learning
Answer: C
Rationale: Supervised learning uses labeled training data to
generalize labels to new instances (function approximation).
4. What type of learning makes sense out of unlabeled data?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) Transfer Learning
Answer: B
Rationale: Unsupervised learning makes sense out of unlabeled
data (data description).
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5. What type of learning involves learning from delayed
reward?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) Active Learning
Answer: C
Rationale: Reinforcement learning involves learning from
delayed reward.
6. What is the primary difference between classification and
regression?
A) Classification maps to continuous values; regression maps to
discrete labels
B) Classification maps to discrete labels; regression maps to
continuous values
C) Both map to discrete labels
D) Both map to continuous values
Answer: B
Rationale: Classification is the process of mapping x to a
discrete label. Regression is the mapping of x to continuous
values in R.
7. What are the vectors of attributes that describe the input
called?
A) Concepts
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B) Hypotheses
C) Instances
D) Labels
Answer: C
Rationale: Instances are vectors of attributes to describe input.
8. What is the function that maps inputs to outputs called?
A) Instance
B) Concept
C) Hypothesis
D) Feature
Answer: B
Rationale: A concept is the function that maps inputs to
outputs.
9. What is the concept that we are trying to find called?
A) Target Concept
B) Candidate
C) Hypothesis Class
D) Instance
Answer: A
Rationale: The target concept is the concept that we are trying
to find.
10. What is the set of all functions the learner is willing to
consider called?
CS 7641 Machine Learning Unit 1 Exam Practice Questions
(2026-2027 Verified Update!!!!!)
Instructions: This exam consists of multiple-choice questions.
Choose the best answer for each question. The questions are
organized by the major topic areas within Unit 1: Supervised
Learning (Lessons 0–10).
Section 1: Machine Learning Foundations & Concept Learning
(Questions)
1. What is the process of moving from a given series of
specifics to a generalization called?
A) Deduction
B) Induction
C) Abduction
D) Transduction
Answer: B
Rationale: Induction is the process that moves from a given
series of specifics to a generalization. Deduction moves from a
general rule to a specific example.
2. What is the process of moving from a general rule to a
specific example called?
, Page |2
A) Induction
B) Deduction
C) Abduction
D) Analogy
Answer: B
Rationale: Deduction is the process of moving from a general
rule to a specific example.
3. What type of learning uses labeled training data to
generalize labels to new instances?
A) Unsupervised Learning
B) Reinforcement Learning
C) Supervised Learning
D) Semi-supervised Learning
Answer: C
Rationale: Supervised learning uses labeled training data to
generalize labels to new instances (function approximation).
4. What type of learning makes sense out of unlabeled data?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) Transfer Learning
Answer: B
Rationale: Unsupervised learning makes sense out of unlabeled
data (data description).
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5. What type of learning involves learning from delayed
reward?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) Active Learning
Answer: C
Rationale: Reinforcement learning involves learning from
delayed reward.
6. What is the primary difference between classification and
regression?
A) Classification maps to continuous values; regression maps to
discrete labels
B) Classification maps to discrete labels; regression maps to
continuous values
C) Both map to discrete labels
D) Both map to continuous values
Answer: B
Rationale: Classification is the process of mapping x to a
discrete label. Regression is the mapping of x to continuous
values in R.
7. What are the vectors of attributes that describe the input
called?
A) Concepts
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B) Hypotheses
C) Instances
D) Labels
Answer: C
Rationale: Instances are vectors of attributes to describe input.
8. What is the function that maps inputs to outputs called?
A) Instance
B) Concept
C) Hypothesis
D) Feature
Answer: B
Rationale: A concept is the function that maps inputs to
outputs.
9. What is the concept that we are trying to find called?
A) Target Concept
B) Candidate
C) Hypothesis Class
D) Instance
Answer: A
Rationale: The target concept is the concept that we are trying
to find.
10. What is the set of all functions the learner is willing to
consider called?
