Lecture 3.3 | Instance Based Vs Model Based Learning | Types of Machine Learning |
Welcome to our comprehensive video on "Instance-Based vs Model-Based Learning"!
Instance-Based and Model-Based Learning are two fundamental paradigms in machine learning, each with its own unique characteristics and applications. Understanding their differences is crucial in selecting the most suitable method for your specific problem.
In this video, we explore the following key aspects of Instance-Based vs Model-Based Learning:
1. Introduction to Instance-Based Learning
2. Introduction to Model-Based Learning
3. Differences in Approach
By the end of this tutorial, you will have a solid understanding of the differences between Instance-Based and Model-Based Learning, their respective strengths and weaknesses, and how to choose the right approach for your machine learning tasks.
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