Machine Learning - Introduction To Artificial Intelligence | Lecture Notes - YNetStudyHub
Introduction To Artificial Intelligence

Machine Learning

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Explore the subfield of AI known as machine learning, examining algorithms, models, and techniques used by machines to learn from data and improve performance.

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Machine Learning Definition: Machine Learning (ML) is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to learn and improve from experience without being explicitly programmed. Types of Machine Learning: Supervised Learning: The algorithm is trained on labeled data, where it learns to map input data to the correct...…

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Unit Syllabus 30 Topics
1
What is Artificial Intelligence?
Types of Artificial Intelligence
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Machine Learning Basics
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Natural Language Processing (NLP)
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Computer Vision
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AI Ethics and Bias
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AI in Healthcare
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AI in Business
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AI and Robotics
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The Future of Artificial Intelligence
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Overview of Artificial Intelligence
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Types of Artificial Intelligence
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Machine Learning Fundamentals
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Natural Language Processing (NLP)
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Computer Vision
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Ethics and Bias in AI
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AI in Healthcare
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AI in Robotics
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AI in Business
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Future Trends in Artificial Intelligence
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What is Artificial Intelligence?
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History of Artificial Intelligence
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Types of Artificial Intelligence
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Machine Learning
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Deep Learning
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Natural Language Processing (NLP)
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Computer Vision
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Ethics and Implications of AI
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AI in Healthcare
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AI in Robotics
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