In essence, an SVM is a mathematical entity, an algorithm (or recipe) for maximizing a particular mathematical function with respect to a given collection of data. The basic ideas behind the SVM ...
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An important leap for artificial intelligence in recent years is machines’ ability to teach themselves, through endless practice, to solve problems, from mastering ancient board games to navigating ...
Neural networks (NNs) are one of the most widely used techniques for pattern classification. Owing to the most common back-propagation training algorithm of NN being extremely computationally ...
AI recommenders get better as they get bigger. Several models have been previously released with billion parameters up to even trillion very recently. Every jump in the model capacity has brought in ...
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