Supervised and Unsupervised Learning for Data Science (eBook, PDF)
eBook, PDF

Supervised and Unsupervised Learning for Data Science (eBook, PDF)

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This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. 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. Practitioners and graduate students can use the volume as an impor...

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