000			a
999			_c34039 _d34039
008			250710b xxu||||| |||| 00| 0 eng d
020			_a9781009418140 _c(hbk)
082			_a512.5 _bFES
100			_aFessler, Jeffrey A.
245			_aLinear algebra for data science, machine learning, and signal processing
260			_bCambridge University Press, _c2024. _aLondon :
300			_axviii, 431 p. ; _bill., (Chifly col.), _c25 cm.
365			_b49.99 _c£ _d117.50
504			_aIncludes bibliographical references and index.
520			_aMaster basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as well as online JULIA demos offering a hands-on learning experience for upper-level undergraduates and first-year graduate students.
650			_aAlgebras, Linear
650			_aMachine learning
650			_aMathematics
650			_aMatrices
650			_aSignal processing
700			_aNadakuditi, Raj Rao
942			_2ddc _cBK