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Types of AI: Machine Learning
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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Machine Learning (ML) is where computers learn from data without being explicitly programmed.
There are three primary types:
1- supervised (where the system is trained with labeled data, like tagged photos)
2- unsupervised (where the system learns patterns from unlabelled data, like identifying customer segments),
3- reinforcement learning (where the system learns by receiving feedback, like a video game AI).
ML models train on datasets and then test their predictions on unseen data.
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