Machine Learning Quiz

Machine Learning Quiz

9th - 12th Grade

19 Qs

quiz-placeholder

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Machine Learning Quiz

Machine Learning Quiz

Assessment

Quiz

Computers

9th - 12th Grade

Easy

Created by

KENNETH GUNTHER

Used 2+ times

FREE Resource

19 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is it called when a human trains a model to learn with examples?

Unsupervised Learning

Supervised Learning

Training

Labeling

Answer explanation

When a human trains a model using labeled examples, it is called Supervised Learning. This method involves providing the model with input-output pairs to learn from, enabling it to make predictions on new data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a computer program designed to make a decision called?

Model

Feature

Label

Training

Answer explanation

A computer program designed to make a decision is called a 'Model'. In machine learning, a model is trained on data to make predictions or decisions based on input, distinguishing it from features, labels, or training processes.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process of giving examples to a model so it can learn called?

Labeling

Unsupervised Learning

Training

Modeling

Answer explanation

The process of giving examples to a model so it can learn is called Training. During training, the model adjusts its parameters based on the provided examples to improve its performance on tasks.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is finding patterns in data that doesn't have any labels called?

Supervised Learning

Unsupervised Learning

Training

Labeling

Answer explanation

Finding patterns in unlabeled data is known as Unsupervised Learning. Unlike Supervised Learning, which uses labeled data, Unsupervised Learning identifies hidden structures without predefined categories.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In _________ model keeps on increasing its performance using a Reward Feedback to learn the behavior or pattern

clustering

reinforcement learning

semi supervised

reinforcement

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Reinforcement learning?

All data is unlabelled and the algorithms learn to inherent structure from the input data

All data is labelled and the algorithms learn to predict the output from the input data

It is a framework for learning where an agent interacts with an environment and receivesa reward for each interaction

Some data is labelled but most of it is unlabelled and a mixture of supervised andunsupervised techniques can be used.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are different types of machine learning?

Supervised, Unsupervised, and Reinforcement

Automatic, Manual, and Hybrid

Cognitive, Behavioral, and Analytical

Static, Dynamic, and Interactive

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