π Lesson 26: How Is AI Used in Recommendation Systems Like Netflix or Amazon? Lesson Objective: To help learners understand how AI powers recommendation systems
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π Lesson 13: Reinforcement Learning Lesson Objective: To introduce learners to Reinforcement Learning (RL) β how it works, where itβs used, and how it differs
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π Lesson 12: Unsupervised Learning Lesson Objective: To help learners understand what Unsupervised Learning is, how it differs from supervised learning, and where it is
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π Lesson 8: Deep Learning β Going Deeper Into AI Lesson Objective: To help learners understand what Deep Learning is, how it builds upon neural
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π 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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π Lesson 6: Machine Learning β The Engine of AI Lesson Objective: To help learners understand what Machine Learning (ML) is, how it works at
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π Lesson 3: Types of AI β Narrow, General, and Superintelligence Lesson Objective: To help learners understand the three main types of AI β how
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π 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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Here are 50 keywords related to Artificial Intelligence (AI), along with brief definitions: 1. Artificial Intelligence (AI): The development of computer systems that can perform
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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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