00000nam a22000008i 4500 UP-8027390931311651618 Buklod 20250609131552.0 m |o d | cr ||||||||||| 250226s2023 flu b 001 0 eng 2022047264 9780367458393 (hardback) 9781003025672 (ebook) 9781032458649 (paperback) 22908690 eng rda DLC DLC DSTC eng pcc QA 184.2 A73 2023 518/.43 23/eng20230203 Arangala, Crista author. Linear algebra with machine learning and data Crista Arangala. First edition. 303 Boca Raton CRC Press 2023. xix, 289 p illustrations (black and white) 24 cm txt rdacontent text rdamedia unmediated nc rdacarrier volume Textbooks in mathematics Includes bibliographical references and index. 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"-- Provided by publisher. Algebras, Linear Textbooks. Data mining Mathematics Textbooks. Machine learning Mathematics Textbooks. FO Printed UPD DSTC QA 184.2 A73 2023 UPMIN UPMIN-MAIN QA 184.2 A73 2023 Book