{"product_id":"math-for-programmers-p3d-graphics-machine-learning-and-simulations-with-python-paperback-p","title":"Math for Programmers (Paperback)","description":"\u003cdiv aria-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\" style=\"box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif padding-bottom:=\"\"\u003eTo score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. \u003ci style=\"box-sizing: border-box;\"\u003eMath for Programmers\u003c\/i\u003e 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.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eAbout the technology\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eSkip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code!\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eAbout the book\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eIn \u003ci style=\"box-sizing: border-box;\"\u003eMath for Programmers\u003c\/i\u003e you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eWhat's inside\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e    Vector geometry for computer graphics\u003cbr style=\"box-sizing: border-box;\"\u003e    Matrices and linear transformations\u003cbr style=\"box-sizing: border-box;\"\u003e    Core concepts from calculus\u003cbr style=\"box-sizing: border-box;\"\u003e    Simulation and optimization\u003cbr style=\"box-sizing: border-box;\"\u003e    Image and audio processing\u003cbr style=\"box-sizing: border-box;\"\u003e    Machine learning algorithms for regression and classification\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eAbout the reader\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eFor programmers with basic skills in algebra.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003ePaul Orland\u003c\/span\u003e is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eTable of Contents\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003e1 Learning math with code\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003ePART I - VECTORS AND GRAPHICS\u003cbr style=\"box-sizing: border-box;\"\u003e2 Drawing with 2D vectors\u003cbr style=\"box-sizing: border-box;\"\u003e3 Ascending to the 3D world\u003cbr style=\"box-sizing: border-box;\"\u003e4 Transforming vectors and graphics\u003cbr style=\"box-sizing: border-box;\"\u003e5 Computing transformations with matrices\u003cbr style=\"box-sizing: border-box;\"\u003e6 Generalizing to higher dimensions\u003cbr style=\"box-sizing: border-box;\"\u003e7 Solving systems of linear equations\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003ePART 2 - CALCULUS AND PHYSICAL SIMULATION\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e8 Understanding rates of change\u003cbr style=\"box-sizing: border-box;\"\u003e9 Simulating moving objects\u003cbr style=\"box-sizing: border-box;\"\u003e10 Working with symbolic expressions\u003cbr style=\"box-sizing: border-box;\"\u003e11 Simulating force fields\u003cbr style=\"box-sizing: border-box;\"\u003e12 Optimizing a physical system\u003cbr style=\"box-sizing: border-box;\"\u003e13 Analyzing sound waves with a Fourier series\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003ePART 3 - MACHINE LEARNING APPLICATIONS\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e14 Fitting functions to data\u003cbr style=\"box-sizing: border-box;\"\u003e15 Classifying data with logistic regression\u003cbr style=\"box-sizing: border-box;\"\u003e16 Training neural networks\u003c\/div\u003e\u003cdiv class=\"a-expander-header a-expander-partial-collapse-header\" style=\"box-sizing: border-box; position: absolute; bottom: 0px; width: 683px; transition: opacity 0.4s ease-out 0s; outline: 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif opacity:=\"\"\u003e\u003ca class=\"a-declarative\" data-a-expander-toggle=\"{\" allowlinkdefault more less data-action=\"a-expander-toggle\" style=\"box-sizing: border-box; color: rgb(0, 113, 133);\"\u003e\u003ci class=\"a-icon a-icon-extender-collapse\" style=\"box-sizing: border-box; background-image: url(\" https: background-size: background-repeat: no-repeat display: inline-block vertical-align: baseline position: relative margin-right: width: height: background-position:\u003e\u003c\/i\u003e\u003c\/a\u003e\u003c\/div\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506229317702,"sku":"9781617295355","price":5318.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506229350470,"sku":"9781617295355-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/71Ddf7gjTXL.jpg?v=1790323735","url":"https:\/\/cb-india.com\/products\/math-for-programmers-p3d-graphics-machine-learning-and-simulations-with-python-paperback-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}