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Introduction to machine Learning

Total questions: 16

Worksheet time: 20mins

Name
Class
Date
1.

数据

(a)  

2.

模型

(a)  

3.

特征

(a)  

4.

无监督学习

(a)  

5.

监督学习

(a)  

6.

训练

(a)  

7.

标签

(a)  

8.

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

a)
Supervised learning
b)
Reinforcement learning
c)
Semi-supervised learning
d)
Unsupervised learning
9.

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

a)
Semi-supervised learning
b)
Reinforcement learning
c)
Unsupervised learning
d)
Supervised learning
10.

Organize these options into the right categories

Categorize the following

has labels

has examples

data with no labels

Supervised learning
Unsupervised learning
11.

模式

(a)  

12.

What is machine learning?

a)
Machine learning is a type of hardware.
b)
Machine learning is a form of traditional programming.
c)

Machine learning is how computers recognize patterns without being programmed step by step.

d)
Machine learning is solely focused on robotics.
13.

How do we call examples that the computer uses to learn?

a)

Training Data

b)

Test Data

c)

Validation Data

d)

Metadata

14.

What is it called when we want to teach a model?

a)

Test

b)

Training

c)

Learning

d)

Testing

15.

Supervised Learning



Sort into Land Animals and Water Animals.

Categorize the following

horse

cat

lion

shark

dolphin

octopus

elephant
giraffe
zebra
kangaroo
bear

whale

seal

turtle

jellyfish

goldfish

Land animals
Water animals
16.

Unsupervised learning

Group these numbers.

Categorize the following

3

1
5
7
9
11

2

4
6
8
10
12
0.5
1.2
3.14
2.718
4.0
7.89
Group 1
Group 2
Group 3