Machine Learning Foundations Part 8 | Transfer Learning & Multitasking Learning (Urdu/Hindi)

Описание: In this video, we explore two powerful concepts in modern Machine Learning and Deep Learning:

✅ Transfer Learning
✅ Multitask Learning

Transfer Learning allows a model trained on one task to be reused for a different but related task, saving time, data, and computational resources. It is widely used in computer vision, NLP, and real-world AI systems.

Multitask Learning enables a model to learn multiple related tasks simultaneously, improving generalization and performance through shared representations.

📌 In this video, you will learn:

• What is Transfer Learning?
• Why pre-trained models are important
• Real-world examples of transfer learning
• What is Multitask Learning?
• How shared representations work
• Difference between Transfer Learning and Multitask Learning
• Practical industry applications

This lecture is explained in simple and clear language to help beginners and intermediate learners build strong ML foundations


If you are building strong ML fundamentals, this video is a must-watch.
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