Paradigms of Machine Learning Explained | Supervised, Unsupervised & Reinforcement Learning
Автор: Quantum Ojas Intelligence Lab
Загружено: 2026-02-04
Просмотров: 78
Описание:
Machine Learning paradigms define how a machine learns from data and improves its performance over time.
In this video, we explain the Paradigms of Machine Learning in a clear and simple way. You will understand the different learning approaches used in Machine Learning along with examples.
📌 Topics covered in this video:
• Supervised Learning
• Unsupervised Learning
• Semi-Supervised Learning
• Reinforcement Learning
• Real-world examples of each paradigm
This video is useful for:
✔ Beginners in Machine Learning
✔ Engineering and Computer Science students
✔ Artificial Intelligence learners
✔ Data Science aspirants
By the end of this video, you will clearly understand how different Machine Learning paradigms work and when to use them.
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