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Understanding Machine Learning-CR

Authored by Haythem Benhmida

Education

11th Grade

Used 11+ times

Understanding Machine Learning-CR
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18 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of system cannot improve without new human-written rules?

Data-Driven System

Supervised Learning

Rule-Based System

Reinforcement Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which best describes a data-driven system?

Learns patterns from examples

Always follows fixed instructions

Predicts without using data

Only works for numbers

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A teacher gives students both the questions and answers while practicing. This is most like:

Unsupervised Learning

Supervised Learning

Reinforcement Learning

Rule-Based System

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Predicting house prices based on size and location is an example of:

Classification

Regression

Clustering

Reinforcement

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of these tasks would most likely use clustering?

Sorting fruits into 'ripe' or 'not ripe'

Predicting next week's rainfall in millimeters

Grouping customers by spending habits

Teaching a robot to walk across a room

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of learning is most similar to trial and error?

Supervised

Unsupervised

Reinforcement

Rule-Based

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A mobile app suggests friends to follow by analyzing who you interact with, without labels. This is an example of:

Supervised Learning

Reinforcement Learning

Rule-Based System

Unsupervised Learning

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