This document is a presentation on machine learning submitted to a teacher. It begins with an introduction that defines machine learning as algorithms and data that allow computers to learn from experience without being explicitly programmed. It then discusses the differences between normal computer software and machine learning, providing examples of machine learning algorithms and the three main types of machine learning. The document also provides real-world examples of machine learning applications and the most commonly used programming languages for machine learning. Finally, it discusses the differences between machine learning and artificial intelligence and provides advantages and disadvantages of machine learning.

1. Submitted To
Teacher Name: Dewan mamun raza
Designation: Lecturer
Department of CSE
Daffodil International University
Submitted By
Section: 65_J
Department of CSE
Daffodil International University
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Presentation : Machine Learning.

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Introduction to Machine Learning

3. WHAT IS MACHINE
LEARNING
• Machine learning is an application of artificial intelligence
that involves algorithms and data that automatically analyse
and make decision by itself without human intervention.
• It describes how computer perform tasks on their own by
previous experiences.
• Therefore we can say in machine language artificial
intelligence is generated on the basis of experience.
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4. NORMAL COMPUTERVS ML
• The difference between normal computer software and
machine learning is that a human developer hasn’t given
codes that instructs the system how to react to situation,
instead it is being trained by a large number of data.
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Some of the machine learning algorithms are:
• Neural Networks
• Random Forests
• Decision trees
• Genetic algorithm
• Radial basis function
• Sigmoid

6. TYPES OF MACHINE
LEARNING
There are three types of machine learning
• Supervised learning
• Unsupervised learning
• Reinforcement learning
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7. MACHINE LEARNING USES:
• Traffic prediction
• Virtual Personal Assistant
• Speech recognition
• Email spam and malware filtering
• Bioinformatics
• Natural language processing
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8. REALTIME EXAMPLES FOR ML
• TRAFFIC PREDICTION
• VIRTUAL PERSONAL ASSISTANT
• ONLINETRANSPORTATION
• SOCIAL MEDIA SERVICES
• EMAIL SPAM FILTERING
• PRODUCT RECOMMENDATION
• ONLINE FRAUD DETECTION
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9. BEST PROGRAMMING
LANGUAGES FOR ML
Some of the best and most commonly used machine learning programs are
• Python,
• java,
• C,
• C++,
• Shell,
• R,
• JavaScript,
• Scala,
• Shell,
• Julia
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11. DIFFERENCE BETWEEN
MACHINE LEARNING AND
ARTIFICIAL INTELLIGENCE
• Artificial Intelligence is a concept of creating intelligent
machines that stimulates human behaviour whereas
Machine learning is a subset of Artificial intelligence that
allows machine to learn from data without being
programmed.
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12. ADVANTAGES OF MACHINE
LEARNING
• Fast,Accurate, Efficient.
• Automation of most applications.
• Wide range of real life applications.
• Enhanced cyber security and spam detection.
• No human Intervention is needed.
• Handling multi dimensional data.
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13. DISADVANTAGES OF
MACHINE LEARNING
• It is very difficult to identify and rectify the errors.
• Data Acquisition.
• Interpretation of results Requires more time and space.
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14. THANKYOU
CSE
(SECTION 65 – J )
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