π Lesson 17: Ethics and Bias in AI Lesson Objective: To help learners understand the ethical risks, responsibilities, and challenges of AI systems, especially related
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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 9: Natural Language Processing (NLP) Lesson Objective: To help learners understand what Natural Language Processing (NLP) is, how it works, and how itβs
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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 5: Why AI Matters Today (In Business, Society, and Life) Lesson Objective: To help learners understand the real-world impact of AI β why
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π 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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Natural Language Processing (NLP) has numerous applications across various domains. Here are some examples of applications that utilize NLP techniques: Virtual Assistants: Virtual assistants like
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Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on the interaction between computers and human language. It involves the development
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Building a Minimum Viable Product (MVP): The Key to Unlocking Startup Success In the fast-paced and highly competitive world of entrepreneurship, the ability to quickly
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