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1. MACHINE LEARNING
Nessim baraket
Ahmed doggaz
Mahdi kordoghli

2. C O N T E N T S
2
o What is Machine Learning?
o Types of Machine Learning
o Applications of Machine Learning
o Major steps in the machine learning
process
o Summary

3. WHAT I S MACHI NE
LEARNING?
Machine Learning is the process of using algorithms to parse data,
learn from it, and make decisions based on what it has learned. It
is a form of artificial intelligence that can be used to make
predictions and automate tasks.
The goal of Machine Learning is to develop algorithms that can
learn from data, identify patterns, and make decisions with minimal
human intervention.

4. TYPES OF MACHINE
LEARNING
There are three main types of Machine Learning: supervised, unsupervised, and
reinforcement learning. Supervised learning uses labeled data to learn and make
predictions, while unsupervised learning uses unlabeled data to discover patterns.
Reinforcement learning is a type of machine learning that uses rewards and
punishments to learn and make decisions.
The type of Machine Learning used depends on the type of data and the desired
outcome. For example, supervised learning can be used to classify images, while
unsupervised learning can be used to segment data into clusters.

5. SUPERVISED LEARNING
5

6. UNSUPERVISED LEARNING
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7. APPLICATIONS OF MACHINE
LEARNING
o Machine Learning can be used in a variety of applications,
such as image recognition, natural language processing, fraud
detection, and autonomous vehicles. It can also be used to
improve customer service, predict customer behavior, and
optimize marketing campaigns.
o Machine Learning is becoming increasingly popular and is
being used in a variety of industries, such as healthcare,
finance, retail, and manufacturing. It is also being used to
improve the efficiency of many processes and to automate
tasks that were previously done by humans.
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8. MAJOR STEPS IN THE
MACHINE LEARNING
PROCESS
8
Step 1 Step 2 Step 3 Step 4 Step 5
Define the
problem
Build the
Dataset
Train the
model
Evaluate the
Model
Use the
Model

9. S U M M A R Y
Overall, machine Learning is a powerful tool that can be used to automate
tasks, improve customer service, and make predictions that would
otherwise be impossible. It is becoming increasingly popular and is being
used in a variety of industries. However, it is important to understand the
limitations of Machine Learning and to use it responsibly in order to
achieve the desired results.

10. THANK YOU