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“When I was a high school student, I always thought that I am a top expert in my academic field. pay someone to do examination But then a friend of mine suggested me to do a counterfactual experiment on my favorite topic. After researching a bit, I found that only a few experts in my field can perform such a research, and that’s why I chose you.” In this email to my friend’s friend, you need to tell about how you were introduced to the counterfactual experiments and what your friend’s friend suggested to you to perform counterfactual experiments.
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It all began with me being a student of statistics, math, and economics. However, my curiosity for computer science and artificial intelligence (AI) has always piqued my interest. When I came across the topic of Counterfactual Explanations, it captivated my attention and imagination. The idea intrigued me as it provides an alternative perspective on real world data. I had heard about it but had never delved into its depth. Counterfactual Explanations for AI certification is an interesting topic. It allows one to explain the consequences of
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In this tutorial, I’ll show you how to write counterfactual explanations for AI certification that can help you to prove the effectiveness of your AI-based applications. 1. Knowledge Gap The first step is to define what counterfactuals are in this context. Counterfactual Explanations: Explanations that replace the original model or data points with alternative hypothetical scenarios that would have resulted in different predictions. like this These scenarios should be realistic, with reasonable limitations on what the system would have learned to predict
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