Algorithms For Dummies

 

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Machine learning: Approaches such as neuro-fuzzy systems, support vector 

machines, and neural networks, which are the foundation of how a computer 

learns to estimate and classify from training examples that are provided as 

part of datasets of data. Similar to how a child learns by experience, machine 

learning algorithms determine how to deliver the most plausible answer 

without using precise rules and detailed rules of conduct. (See Machine 

Learning For Dummies, by John Paul Mueller and Luca Massaron [Wiley], for 

details on how machine learning works.)