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Machine Learning Quiz

Total questions: 13

Worksheet time: 7mins

Name
Class
Date
1.

Machine learning is

a)

Inter-disciplinary

b)

Single

c)

Multi-disciplinary

d)

All of the above

2.

A computer program is said to learn from some class of tasks T and performance measure P, if tasks in T, as measured by P, improves with E.

a)

Training

b)

Experience

c)

Database

d)

Algorithm

3.

has been used to train vehicles to steer c autonomously on road.

a)

Machine learning

b)

Data mining

c)

Neural networks

d)

Robotics

4.

Any hypothesis find an approximation of the target fi sufficiently large set of training examples will also ap target function well over other unobserved examples.

a)

Hypothesis

b)

Inductive hypothesis

c)

Learning

d)

Concept learning

5.

Factors which affect performance of a learner system

a)

Representation scheme used

b)

Training scenario

c)

Type of feedback

d)

Good data structures

6.

Different learning methods does not include

a)

Memorization

b)

Analogy

c)

Deduction

d)

Introduction

7.

How Many types are available in Ml

a)

1

b)

2

c)

3

d)

4

8.

K-Mean algorithm is a

a)

supervised

b)

unsupervised

c)

Semi-supervised

d)

weakly supervised learning

9.

Q Learning Algorithm is

a)

Supervised

b)

unsupervised

c)

Semi-Supervised

d)

reinforcement

10.

This type of learning is used when no input label is present

a)

Supervised

b)

unsupervised

c)

Semi-Supervised

d)

Reinforcement

11.

This type of learning is used when no input label is present

a)

Supervised

b)

unsupervised

c)

Semi-Supervised

d)

Reinforcement

12.

This type of learning is used when no input label is present

a)

Supervised

b)

unsupervised

c)

Semi-Supervised

d)

Reinforcement

13.

The model learns by itself through rewards

a)

Supervised

b)

unsupervised

c)

Reinforcement

d)

Semi-Supervised