Machine learning
suma k -
Every machine learning algorithm has three components: Representation: how to represent knowledge. Examples include decision trees, sets of rules, instances, graphical models, neural networks, support vector machines, model ensembles and others. Evaluation: the way to evaluate candidate programs (hypotheses).
3 Lessons
00:00:00 Hours
English
Beginner
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