🎓 Lesson 10: Computer Vision and Image Recognition Lesson Objective: To help learners understand what Computer Vision is, how it allows machines to see and
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🎓 Lesson 9: Natural Language Processing (NLP) Lesson Objective: To help learners understand what Natural Language Processing (NLP) is, how it works, and how it’s
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🎓 Lesson 7: Neural Networks and How They Work Lesson Objective: To help learners understand what Artificial Neural Networks (ANNs) are, how they are inspired
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🎓 Lesson 5: Why AI Matters Today (In Business, Society, and Life) Lesson Objective: To help learners understand the real-world impact of AI — why
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🎓 Lesson 4: AI vs. Traditional Programming Lesson Objective: To clearly explain the difference between traditional computer programming and artificial intelligence systems, with practical examples
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🎓 Lesson 3: Types of AI – Narrow, General, and Superintelligence Lesson Objective: To help learners understand the three main types of AI — how
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🎓 Lesson 2: A Brief History of AI Lesson Objective: To provide learners with a simple, clear timeline of the major events in the development
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🎓 Lesson 1: What is Artificial Intelligence (AI)? Lesson Objective: To help learners clearly understand what Artificial Intelligence (AI) means, in simple terms, using practical
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Premiered Mar 3, 2025 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Introduction to Deep Learning MIT Couse 6.S191 Lecture 1 New 2025 Edition Foundations of Deep Learning Lecturer:
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Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and human language. It encompasses the development
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