Sebastian Raschka

“Eventually, the performance of a classifier, computational power as well as predictive power, depends heavily on the underlying data that are available for learning. The five main steps that are involved in training a machine learning algorithm can be summarized as follows: Selection of features. Choosing a performance metric. Choosing a classifier and optimization algorithm. Evaluating the performance of the model. Tuning the algorithm.”

Sebastian Raschka, Python Machine Learning
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Python Machine Learning Python Machine Learning by Sebastian Raschka
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