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Machine Learning Basics Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What is Machine Learning?

a)

A programming language

b)

A way computers learn from data

c)

A database

d)

A robot

2.

Which type uses labeled data?

a)

Unsupervised

b)

Supervised

c)

Reinforcement

d)

Deep

3.

What is the goal of unsupervised learning?

a)

Predict values

b)

Group unlabeled data

c)

Improve accuracy

d)

Build networks

4.

Which algorithm is used for classification?

a)

Linear Regression

b)

KNN

c)

K-Means

d)

PCA

5.

Overfitting means...

a)

Good on train, bad on test

b)

Always perfect

c)

Bad everywhere

d)

Random result

6.

Which is an ML application?

a)

Self-driving car

b)

Email spam filter

c)

Weather forecast

d)

All of the above

7.

What is a “label”?

a)

Input data

b)

Correct output

c)

Algorithm name

d)

Dataset

8.

What is a “feature”?

a)

Column of input data

b)

Output result

c)

Error

d)

Function

9.

What is reinforcement learning?

a)

Learn from labeled data

b)

Learn by trial and reward

c)

Learn from humans

d)

Learn from internet

10.

Which library is used for ML in Python?

a)

NumPy

b)

Pandas

c)

Scikit-learn

d)

PowerPoint

11.

What company created TensorFlow?

a)

Microsoft

b)

IBM

c)

Google

d)

Amazon

12.

What does a neuron do in neural networks?

a)

Store data

b)

Calculate weighted sums

c)

Control memory

d)

Delete errors

13.

What is classification?

a)

Predict numbers

b)

Group into categories

c)

Sort alphabetically

d)

Generate data

14.

What is regression used for?

a)

Predict categories

b)

Predict continuous values

c)

Detect faces

d)

Group data

15.

Which of these uses ML?

a)

TikTok

b)

Google Translate

c)

Siri

d)

All of them