Alexandre Gomes

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This algorithm is perfect for complex small or medium-sized training sets. It scales well with the number of features, especially with sparse features (i.e., when each instance has few nonzero features).
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
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