11-23-2024, 09:32 AM
![[Image: 1c9f59808e5c73858e61752e94ced66a.jpeg]](https://i124.fastpic.org/big/2024/1123/6a/1c9f59808e5c73858e61752e94ced66a.jpeg)
XAI and Interpretability in Cybersecurity
Released: 11/2024
Duration: 2h 22m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 277 MB
Level: Advanced | Genre: eLearning | Language: English
This course unlocks the power of explainable AI for smarter cybersecurity decisions, equipping you to understand AI reasoning and address its limitations for transparency and effectiveness. Instructor Stephanie Itimi delves into the mechanics of XAI models, exploring model-agnostic (LIME, SHAP) and model-specific (decision trees, feature interaction maps) techniques. She provides tools for hands-on analysis of AI models in cybersecurity scenarios, showing you how to apply XAI at both strategic and operational levels. Check out this course to employ confident, informed use of AI in cybersecurity decision-making within an organization.
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