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Types of AI: Natural Language Processing
AI Fundamentals
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| Module 1 | AI Fundamentals | |
|---|---|---|
| Unit 1 | Introduction to AI | |
| Unit 2 | Types of AI: Machine Learning | |
| Unit 3 | Types of AI: Deep Learning | |
| Unit 4 | Types of AI: Natural Language Processing | |
| Unit 5 | Types of AI: Generative AI | |
| Unit 6 | AI Case Studies and Practical Usage | |
| Unit 7 | Post-Test |
Unit Summary
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Natural Language Processing (NLP) bridges the gap between human language and computer understanding.
Key techniques include tokenization (breaking text into words or phrases) and embeddings (converting words into vectors).
Companies employ sentiment analysis, a part of NLP, to gauge customer feedback on social media. Tools like Google Translate assist travelers in understanding foreign languages in real-time, and Grammarly aids in content refinement.
The era where machines truly "get" us isn't far.
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