Explainable AI Insights
35.000+
Speakers with real-world experience
Practical experience over textbook knowledge
What you will learn
- Explainable AI
- Drivers & Challenges of XAI
- XAI Methods
- Partial Dependence Plot
- Feature Importance
- Surrogate Models
- LIME
- Shapley Values
Who is this course intended for?
Experience the most important information on current topics and trends in a compact setting of up to 2 hours online-course duration. No matter if you want to learn more about new developments in your core business or if you want to think outside the box, our Insights enable you to do so based on our market and technology experiences.
As part of the Insights training format, participants as explorers have the opportunity to gain access to cutting-edge technologies and innovative insights in compact content on current trending topics in order to stay on top of the rapidly changing subject areas and stay up-to-date.
About this Training
The Explainable AI Insights provide a basic dive into the buzzword of explainable AI. The participants learn about the drivers and challenges of explainability and gain an overview of the most important methods on how to successfully implement XAI depending on the objective. Additionally, this training will answer the question why XAI is so important - but above all, why it is so difficult regarding the trade-off between explainability and performance.
Why this Training is right for you
This Explainable AI Insights are for technology experts looking to learn about the basics of explainable AI and how to approach it. This insight is also relevant for technology-affine management level who want to understand the potential of explainable AI and if it is relevant for their own business.
Training Goals
After this training, you will have understood the motivation and drivers of explainability. You will also gain insights into how to approach explainability to understand when and how to use different models of explainability.
Explainable AI Insights
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