00763nam0 2200277 450 991102807960332120250930100305.0978366267881720250930d2023----km y0itay50 baengDEa 001yyData ScienceAn Introduction to Statistics and Machine LearningMatthias PlaueBerlinSpringerc2023XIII, 361 pag.Ill.24 cmstatisticaData science519.523itaPlaueMatthias1427672ITUNINAREICATUNIMARCBK9911028079603321519.5-PLA-1313/2025SC1SC1Data Science3562239UNINA01749nam 22003973a 450 991083296980332120250123132217.0(CKB)3790000000533634(ScCtBLL)e27214e2-6930-4b3e-8ba5-02feb24de928(OCoLC)1000325752(EXLCZ)99379000000053363420250123i20142016 uu enguru||||||||||txtrdacontentcrdamediacrrdacarrierAPEX Calculus : Version 2.0 /Gregory Hartman, Brian Heinold, Troy Siemers, Dimplekumar Chalishajar, Jennifer Bowen[s.l.] :[s.n.],2014.1 online resource (840 p.)This text comprises a three-text series on Calculus. The first part covers material taught in many "Calc 1" courses: limits, derivatives and the basics of integration, found in Chapters 1 through 6.1. The second text covers material often taught in "Calc 2:" integration and its applications, along with an introduction to sequences, series and Taylor Polynomials, found in Chapters 5 through 8. The third text covers topics common in "Calc 3" or "multivariable calc:" parametric equations, polar coordinates, vector-valued functions, and functions of more than one variable, found in Chapters 9 through 13.MathematicsbisacshMathematicsMathematicsMathematics.Hartman Gregory1786594Heinold BrianSiemers TroyChalishajar DimplekumarBowen JenniferScCtBLLScCtBLLBOOK9910832969803321APEX Calculus4318458UNINA