Explainable AI Explained

Name: Explainable AI Explained
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Learn how explainable AI makes AI models more transparent, and build fair AI systems with this free online course

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Learning Outcomes

In this free course, you will learn how to:

Apply XAI techniques to explain the predictions of AI models
Arrange data in a way that is easy to understand and interpret
Change the features of data to improve the accuracy of AI models
Classify data into different classes
Create visualizations of data to make it easier to understand
Describe the different types of XAI techniques
Illustrate the different concepts of XAI with diagrams and examples
List the different steps involved in the XAI process
Plan a project to apply XAI techniques to a real-world problem
Analyze data to identify patterns and trends
Select the most appropriate XAI technique for a given real-world problem
Relate the concepts of XAI to other fields of study, such as statistics and machine learning

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