Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
With Keith McCormick
Liked by 241 users
Duration: 2h 9m
Skill level: Intermediate
Released: 2/17/2022
Course details
Data scientists and machine learning professionals have to stay apace with the latest techniques and approaches in the field. In this course, instructor Keith McCormick shows you how to produce explainable AI (XAI) and interpretable machine learning (IML) solutions.
Learn why the need for XAI has been rapidly increasing in recent years. Explore available methods and common techniques for XAI and IML, as well as when and how to use each. Keith walks you through the challenges and opportunities of black box models, showing you how to bring transparency to your models and using real-world examples that illustrate tricks of the trade on the easy-to-learn, open-source KNIME Analytics Platform. By the end of this course, you’ll have a better understanding of XAI and IML techniques for both global and local explanations.
Learn why the need for XAI has been rapidly increasing in recent years. Explore available methods and common techniques for XAI and IML, as well as when and how to use each. Keith walks you through the challenges and opportunities of black box models, showing you how to bring transparency to your models and using real-world examples that illustrate tricks of the trade on the easy-to-learn, open-source KNIME Analytics Platform. By the end of this course, you’ll have a better understanding of XAI and IML techniques for both global and local explanations.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Hadjer BENYAMINA
Hadjer BENYAMINA
AI Engineering MSc Graduate | Data Science & Technology Enthusiast | English <> Arabic | Maghrebi Algerian Arabic Consecutive Interpreter |…
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 7 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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