What do you do if you want to understand and clarify machine learning models using logical reasoning?
Machine learning models are powerful tools for solving complex problems, but they can also be hard to understand and explain. How do you know if your model is making sense, or if it is biased, or if it can be trusted? One way to approach these questions is to use logical reasoning, a method of thinking that uses rules and facts to derive conclusions. In this article, you will learn what logical reasoning is, why it is useful for machine learning, and how you can apply it to your models.
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