000			02179nam a22001697a 4500
008			240207b2022 |||||||| |||| 00| 0 eng d
020			_a9789355422187
082			_a512.5 COH-M
100			_aCohen, Mike X
245			_aPractical linear algebra for data science : _bfrom core concepts to applications using python / _cMike X Cohen
260			_aIndia _bShroff Publishers _c2022
300			_a311p.
500			_aAn introductory text to linear algebra for undergraduates in data science, statistics, computer sciences, economics and engineering. Presents the essentials in mathematical rigor while also providing intuition behind the results. Discusses the applications of linear algebra to data science along the way"-- Provided by publisher. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis Read less
650			_aAlgebras, Linear.
650			_aBig data--Mathematics.
650			_aMathematical statistics.
999			_c91809 _d91809