Which of the following is an example of unsupervised learning?

Clustering customers based on behavior

What is the main purpose of a ‘training dataset’?

To train the model to recognize patterns

What is a ‘feature’ in Machine Learning?

A measurable property of the data

What is overfitting in Machine Learning?

When a model is too complex and memorizes the training data

What does the ‘k’ in k-Nearest Neighbors (k-NN) represent?

The number of neighbors considered

t3alamt 7aja mel formation lyoum ?

t3alamt w nsit, No, Barcha 7ajat, No ama bel vert

What is Machine Learning?

Teaching machines to learn from data

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Questions 13

Answers

1
Which field involves training agents to make decisions through rewards and penalties?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
2
Which of the following is an example of unsupervised learning?
Clustering customers based on behavior
Identifying a cat in an image
Spam email classification
Predicting house prices
3
What is the main purpose of a ‘training dataset’?
To test the performance of the model
To evaluate the final model
To fix errors in the model
To train the model to recognize patterns
4
Choose Answer B
C) D
A) B
D) A
B) C
5
Which algorithm is commonly used for clustering?
Support Vector Machines
Decision Trees
K-Means
Linear Regression
6
What is a ‘feature’ in Machine Learning?
A test set for the model
A measurable property of the data
An element of the model’s architecture
A data cleaning tool
7
What type of data is needed for supervised learning?
Audio data
Labeled data
Random data
Unlabeled data
8
What does AI stand for?
Advanced Intelligence
Automated Insights
Artificial Intelligence
Artificial Interaction
9
What is overfitting in Machine Learning?
When a model is too simple and performs poorly
When a model can handle too much data
When a model is too complex and memorizes the training data
When a model forgets old data
10
What does the ‘k’ in k-Nearest Neighbors (k-NN) represent?
The depth of the tree
The number of neighbors considered
The number of features
The percentage of data used
11
t3alamt 7aja mel formation lyoum ?
t3alamt w nsit
No
Barcha 7ajat
No ama bel vert
12
What is Machine Learning?
Machines that can clean your house
A machine that gives life advice
Teaching machines to learn from data
A machine that controls other machines
13
Which of these is NOT an application of AI?
Making sandwiches
Self-driving cars
Predicting weather
Netflix recommendations

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