Supervised and Unsupervised Learning for Data Science by Michael W. Berry (Engli
111,11 €
Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications.
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