From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

What you should know - KNIME Tutorial

From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

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What you should know

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- [Narrator] What should you know beforehand to easily enjoy this course? Well, you have to know the basics of modeling and model assessment. Terms like target variable, input variable, and R squared should be familiar to you. We'll be focused on XAI and will review along the way. So you don't have to be an expert. But if you've never used linear regression or built a decision tree model, you might want to start there. Also, we'll be using the KNIME Analytics Platform. Everything you need to know about KNIME is in this course. But if you plan on spending a lot of time with the examples you always have the option of taking my Introduction to KNIME course first. However, if you are the kind of learner that likes to jump right in and you want to learn all about XAI without delay then you'll probably be just fine in this course.

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