000 02229nam a22002537a 4500
003 UAHC
005 20250630123537.0
008 250630s2020 -us|||| |||| 00| 0 eng d
020 _a9781617295355
040 _aUAHC
_cUAHC
082 _a004.0151
_bOR71
100 _aOrland, Paul
_921759
245 1 0 _aMath for Programmers :
_b3D graphics, machine learning, and simulations with Python
_cPaul Orland.
260 _aShelter Island, New York :
_bManning,
_c2021.
300 _a655 páginas.
520 _aTo score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Key Features · 2D and 3D vector math · Matrices and linear transformations · Core concepts from linear algebra · Calculus with one or more variables · Algorithms for regression, classification, and clustering · Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis.
650 0 _aComputadores
_xProgramación
_921760
650 0 _aCiencias de la información
_xEnseñanza
_921762
650 0 _aProcesamiento electrónico de datos
_xEnseñanza
_921761
650 0 _aMatemáticas
_xEnseñanza
_94786
650 0 _aPython (Lenguaje de programación para computadores)
_921669
900 _a004.0151 ORL
942 _2ddc
_cBK
999 _c62723
_d62723