UID:
almahu_9949530778802882
Format:
1 online resource :
,
illustrations
Edition:
First edition.
ISBN:
9781003025672
,
1003025676
,
9781000856163
,
100085616X
,
9781000856200
,
1000856208
Series Statement:
Textbooks in mathematics
Content:
"This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis. The text can be considered in two different but overlapping general data analytics categories, clustering and interpolation. Knowledge of mathematical techniques related to data analytics, and exposure to interpretation of results within a data analytics context, are particularly valuable for students studying undergraduate mathematics. Each chapter of this text takes the reader through several relevant and case studies using real world data. All data sets, as well as Python and R syntax are provided to the reader through links to Github documentation. Following each chapter is a short exercise set in which students are encouraged to use technology to apply their expanding knowledge of linear algebra as it is applied to data analytics. A basic knowledge of the concepts in a first Linear Algebra course are assumed; however, an overview of key concepts are presented in the Introduction and as needed throughout the text"--
Additional Edition:
ISBN 9780367458393
Additional Edition:
ISBN 036745839X
Additional Edition:
ISBN 9781032458649
Additional Edition:
ISBN 103245864X
Language:
English
Keywords:
Textbooks.
DOI:
10.1201/9781003025672
URL:
https://www.taylorfrancis.com/books/9781003025672
Bookmarklink
