Types of Machine Learning: Supervised, Unsupervised, and Reinforcement

Welcome to Video 7 of the Applied AI & ML Course (Free, 6 Months) by Gudsky Research Foundation.

In this session, we’ll break down the three main types of Machine Learning with simple explanations and real-world examples.

💡 In this video, you will learn:
What is Supervised Learning (with examples: spam detection, price prediction)
What is Unsupervised Learning (with examples: customer segmentation, anomaly detection)
What is Reinforcement Learning (with examples: self-driving cars, AI in gaming)
Key differences between the three learning approaches
When to use each type in real-world projects

🎯 Why this video matters:
Understanding these three learning approaches is essential for mastering AI/ML. They form the foundation of all upcoming algorithms you’ll implement in this course.

📅 Course Duration: 6 Months (24 Weeks, 96 Videos)
🌐 Completely Free | Offered by Gudsky Research Foundation

👉 Next Video Preview: Exploring Data with Python – NumPy & Pandas Basics
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