000			a
999			_c33070 _d33070
008			240320b xxu||||| |||| 00| 0 eng d
020			_a9780367458393
082			_a518.43 _bARA
100			_aArangala, Crista
245			_aLinear algebra with machine learning and data
260			_bCRC Press, _c2023 _aBoca Raton :
300			_axix, 289 p. ; _bill., _c25 cm
365			_b74.99 _c£ _d109.40
490			_aTextbooks in Mathematics Series
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650			_aData mining
650			_aMachine learning
650			_aActivation function
650			_aAdjacency matrix
650			_aBaum-Welch Algorithm
650			_aCensus blocks
650			_aChebyshev polynomials
650			_aDecision tree
650			_aEigenvalues
650			_aFiedler vector
650			_aGithub link
650			_aHidden Markov model
650			_aLaplacian matrix
650			_aMarkov chain
650			_aRandom matrices
650			_aSymmetric matrix
650			_aVandermonde matrix
650			_aViterbi Algorithm
942			_2ddc _cBK