Candidate sampling: Revision history

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19 March 2023

  • curprev 15:4415:44, 19 March 2023‎ Walle talk contribs‎ 3,494 bytes +3,494‎ Created page with "{{see also|Machine learning terms}} ==Candidate Sampling in Machine Learning== Candidate sampling is a method used in machine learning, particularly in the context of training large-scale models. It is an optimization technique that reduces the computational complexity of learning algorithms by approximating the gradient of the loss function. In this section, we will explore the concept of candidate sampling, its motivation, and its applications in machine learning. ===..."
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