What is the difference between simple and multiple linear regression for AI?
Linear regression is a widely used technique in artificial intelligence (AI) to model the relationship between one or more input variables and an output variable. It can help you predict, analyze, and optimize various aspects of AI systems, such as performance, accuracy, and efficiency. But what is the difference between simple and multiple linear regression for AI? In this article, you will learn the basics of both methods and how they differ in terms of complexity, assumptions, and applications.
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