Machine learning is a type of artificial intelligence that uses algorithms and data to allow computers to learn without being explicitly programmed. It works by finding patterns in large amounts of data and using what it learns from that data to make decisions or predictions. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Machine learning has many real-world applications including traffic prediction, virtual assistants, spam filtering, and fraud detection. Some commonly used programming languages for machine learning include Python, Java, C, C++, R, and JavaScript.

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Introduction to Machine Learning

2. 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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3. Normal Computer vs 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

5. Types of Machine Learning
There are three types of machine learning
– Supervised learning
– Unsupervised learning
– Reinforcement learning
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6. Machine Learning Uses:
• Traffic prediction
• Virtual Personal Assistant
• Speech recognition
• Email spam and malware filtering
• Bioinformatics
• Natural language processing
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7. Real Time Examples for ML
• TRAFFIC PREDICTION
• VIRTUAL PERSONAL ASSISTANT
• ONLINE TRANSPORTATION
• SOCIAL MEDIA SERVICES
• EMAIL SPAM FILTERING
• PRODUCT RECOMMENDATION
• ONLINE FRAUD DETECTION
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8. 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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10. 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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11. 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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12. 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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13. Thank you
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