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Worksheets

Machine Learning

Total questions: 16

Worksheet time: 8mins

Name
Class
Date
1.

What is Machine Learning? (Choose 3 Answers)

a)

Artificial Intelligence

b)

Machine Learning

c)

Data Statistics

d)

Deep Learning

2.

Which one in the following is not Machine Learning disciplines?

a)

Information Theory

b)

Neurostatistics

c)

Optimization + Control

d)

Physics

3.

from the picture, what kind of programming is it?

a)

Traditional Programming

b)

Modern Programming

c)

Machine Learning

d)

Traditional Learning

4.

from the picture, what kind of programming is it?

a)

Traditional Programming

b)

Machine Learning

c)

Modern Programming

d)

Traditional Learning

5.

What kind of learning algorithm for "Future stock prices or currency exchange rates"?

a)

Recognizing Anomalies

b)

Prediction

c)

Generating Patterns

d)

Recognition Patterns

6.

What kind of learning algorithm for "Facial identities or facial expressions"?

a)

Recognizing Anomalies

b)

Prediction

c)

Generating Patterns

d)

Recognition Patterns

7.

What kind of learning algorithm for "Facial identities or facial expressions"?

a)

Recognizing Anomalies

b)

Prediction

c)

Generating Patterns

d)

Recognition Patterns

8.

Which of the following is not type of learning?

a)

Semi-unsupervised Learning

b)

Unsupervised Learning

c)

Supervised Learning

d)

Reinforcement Learning

9.

Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ...

a)

Unsupervised Learning: Clustering

b)

Supervised Learning: Classification

c)

Reinforcement Learning

d)

Unsupervised Learning: Regression

10.

Targetted marketing, Recommended Systems, and Customer Segmentation are applications in ...

a)

Unsupervised Learning: Clustering

b)

Supervised Learning: Classification

c)

Reinforcement Learning

d)

Unsupervised Learning: Regression

11.

Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...

a)

Unsupervised Learning: Clustering

b)

Supervised Learning: Classification

c)

Reinforcement Learning

d)

Unsupervised Learning: Regression

12.

This picture shows a result of ...

a)

Supervised Learning: Classification

b)

Unsupervised Learning: Regression

c)

Unsupervised Learning: Prediction

d)

Supervised Learning: Regression

13.

This picture shows an application of ...

a)

Supervised Learning: Classification

b)

Unsupervised Learning: Clustering

c)

Unsupervised Learning: Prediction

d)

Supervised Learning: Regression

14.

Machine Learning has various function representation, which of the following is not function of symbolic?

a)

Decision Trees

b)

Rules in propotional Logic

c)

Hidden-Markov Models (HMM)

d)

Rules in first-order predicate logic

15.

Machine Learning has various function representation, which of the following is not numerical functions?

a)

Linear Regression

b)

Support Vector Machines

c)

Neural Network

d)

Case-based

16.

Machine Learning has various search/ optimization algorithms, which of the following is not evolutionary computation?

a)

Perceptron

b)

Genetic Algorithm (GA)

c)

Neuro Evolution

d)

Genetic Programming (GP)