From the course: XAI and Interpretability in Cybersecurity

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Exploring model-specific techniques

Exploring model-specific techniques

From the course: XAI and Interpretability in Cybersecurity

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Exploring model-specific techniques

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- [Instructor] Imagine you are a detective trying to solve a complex case. Every clue, every piece of evidence, requires a different tool from your kit. In the world of machine learning, model-specific techniques are these specialized tools, each crafted to handle unique challenges. Today, we're going to explore these model-specific techniques and understand how they differ from model-agnostic methods and learn when to use them. What are model-specific techniques? Well, model-specific techniques are interpretation methods tailored to specific types of machine learning models. Unlike model-agnostic methods where you can work with any model, these techniques are designed to leverage the unique characteristics of specific model architectures. Their specializations allows them to provide more detailed and accurate explanations, but at the cost of flexibility. Some popular model-specific techniques include decision tree visualization. This technique is specific to decision trees and their…

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