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Machine Learning is not just one single approach — it consists of different learning types based on how data is used. In this video, we explain the types of Machine Learning in a simple, beginner-friendly way with clear examples.

Understanding these types will help you know how machines learn, when to use each method, and how real-world AI systems are built.

In this video, you’ll learn:

What “types of Machine Learning” means

Supervised Learning with real-life examples

Unsupervised Learning and how it finds hidden patterns

Reinforcement Learning and learning through rewards

Key differences between supervised, unsupervised, and reinforcement learning

Real-world use cases for each type

Which Machine Learning type to learn first as a beginner

This video is perfect for beginners, students, and aspiring data scientists who want a strong conceptual foundation before jumping into algorithms.

Watch till the end to clearly understand how different Machine Learning approaches work.

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