Download the fantastic book titled Supervised and Unsupervised Learning for Data Science written by Michael W. Berry, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Supervised and Unsupervised Learning for Data Science", which was released on 04 September 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Supervised and Unsupervised Learning for Data Science by Michael W. Berry PDF
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 important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018). Includes new advances in clustering and classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning; Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
Detail About Supervised and Unsupervised Learning for Data Science PDF
- Author : Michael W. Berry
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 191 pages
- ISBN : 3030224759
- Release Date : 04 September 2019
- PDF File Size : 36,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
Clicking on the GET BOOK button will initiate the downloading process of Supervised and Unsupervised Learning for Data Science by Michael W. Berry. This book is available in ePub and PDF format with a single click unlimited downloads.