Скачать или смотреть Tutorial-6:Instance-based Vs Model-based learning | Machine Learning | Telugu

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In this video, we break down the key differences between instance-based learning and model-based learning in machine learning.
You’ll learn:
✅ What instance-based learning is (lazy learning, nearest neighbor approach)
✅ What model-based learning is (generalization, parametric models)
✅ Practical examples of both approaches
✅ Advantages and disadvantages of each

This video is perfect for students, beginners, and anyone curious about how ML algorithms actually “learn.” By the end, you’ll clearly understand when to use instance-based methods vs model-based methods.

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