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Explainable AI Explained
4-5hrs
beginner levelLearn how to make AI models more transparent and understandable with this comprehensive course on Explainable AI (XAI). In this course, you will learn the basics of XAI, as well as the different techniques that can be used to explain the predictions of AI models. You will also learn about the challenges of XAI and the ethical considerations that need to be taken into account when developing explainable AI systems.
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Explainable AI Explained
Learn how explainable AI makes AI models more transparent, and build fair AI systems with this free online course
Learn how to make AI models more transparent and understandable with this comprehensive course on Explainable AI (XAI). In this course, you will learn the basics of XAI, as well as the different techniques that can be used to explain the predictions of AI models. You will also learn about the challenges of XAI and the ethical considerations that need to be taken into account when developing explainable AI systems.
Course description
Course moduleA short ad will play before each lesson.
Module 18 Lessons
Explainable AI (XAI) Explained
In this module, you will learn about the basics of Explainable AI (XAI) and how to apply it to real-world problems. You will learn an overview of the different types of XAI techniques, as well as the challenges and ethical considerations of XAI. Discover the power of AI with Explainable AI (XAI)! Learn the ins and outs of this cutting-edge tech.
1.Learning Outcomes
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2.Introduction to Explainable AI
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3.Layer-Wise Relevance Propagation (LRP), Glass Box Models, & CEM
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4.Understanding How AI Models Work
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5.AI Computation & Real-Life Use Cases
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6.Structure, Components & Ethical Considerations in Explainable AI
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7.Hands-on Projects in Explainable AI (XAI)
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8.Lesson Summary
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Module 21 Lessons
Course assessment
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