Why Is Probably Approximately Correct Learning Important?
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Why Is Probably Approximately Correct Learning Important?
This video explores the crucial concept of Probably Approximately Correct (PAC) learning in machine learning. Discover why understanding PAC learning is essential for building robust and reliable AI models. We'll break down its significance and how it shapes our approach to learning from data. Here's why PAC learning matters: PAC learning ...
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e. Strictly speaking, why is the probability distribution that you obtained in part (d) only approximately correct? What is the exact distribution called?The sampling was actually doneso the trials areand the success probabilityfrom trial to trial. Theexact probability distribution is called a
e. Strictly speaking, why is the probability distribution that you obtained in part (d) only approximately correct? What is the exact distribution called?The sampling was actually doneso the trials areand the success probabilityfrom trial to trial. Theexact probability distribution is called a
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