02904oam 2200613Ma 450 991046060580332120191209011524.00-429-06752-61-4665-0159-6(CKB)3710000000391529(EBL)1633372(SSID)ssj0001459310(PQKBManifestationID)12473530(PQKBTitleCode)TC0001459310(PQKBWorkID)11464022(PQKB)10573589(MiAaPQ)EBC1633372(Au-PeEL)EBL1633372(CaPaEBR)ebr11167340(OCoLC)908079059(OCoLC)958799177(OCoLC)1122508392(OCoLC-P)958799177(FlBoTFG)9780429067525(EXLCZ)99371000000039152920160914d2012 uy 0engurcn|||||||||txtccrLinear algebra and probability for computer science applications /Ernest DavisBoca Raton, FL CRC Press©20121 online resource (430 p.)An A K Peters BookDescription based upon print version of record.1-4665-0155-3 Includes bibliographical references.Front Cover; Dedication; Contents; Preface; 1. MATLAB; I: Linear Algebra; 2. Vectors; 3. Matrices; 4. Vector Spaces; 5. Algorithms; 6. Geometry; 7. Change of Basis, DFT, and SVD; II: Probability; 8. Probability; 9. Numerical Random Variables; 10. Markov Models; 11. Confidence Intervals; 12. Monte Carlo Methods; 13. Information and Entropy; 14. Maximum Likelihood Estimation; References; Notation"Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments"--Provided by publisher.Computer scienceMathematicsAlgebras, LinearProbabilitiesElectronic books.Computer scienceMathematics.Algebras, Linear.Probabilities.004.01/51Davis Ernest754648OCoLC-POCoLC-PBOOK9910460605803321Linear algebra and probability for computer science applications2140444UNINA