Download PDF Math for Programmers: 3D graphics, machine learning, and simulations with Python

Math for Programmers: 3D graphics, machine learning, and simulations with Python by Paul Orland

Free audiobook online download Math for Programmers: 3D graphics, machine learning, and simulations with Python by Paul Orland 9781617295355

Download Math for Programmers: 3D graphics, machine learning, and simulations with Python PDF

  • Math for Programmers: 3D graphics, machine learning, and simulations with Python
  • Paul Orland
  • Page: 688
  • Format: pdf, ePub, mobi, fb2
  • ISBN: 9781617295355
  • Publisher: Manning Publications Company

Download Math for Programmers: 3D graphics, machine learning, and simulations with Python




Free audiobook online download Math for Programmers: 3D graphics, machine learning, and simulations with Python by Paul Orland 9781617295355

In Math for Programmers 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. Summary To 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip 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! About the book In Math for Programmers 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. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland 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. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks

1 Learning math with code - Math for Programmers: 3D
Making money using mathematical ideas in software; Avoiding common pitfalls in The main tool for learning in this book is the Python programming language. Maybe you don't have deep enough pockets to consider risky stock trading. 3D objects in chapters 4 and 5, and then how to simulate physics using ideas from  Copyright 2019 Manning Publications - Math for Programmers
my titles. cart. sign in. more. MEAP Edition. Manning Early Access Program. Math for Programmers. 3D graphics, machine learning, and simulations with Python. 10 Working with Symbolic Expressions · Math for
Modeling algebraic expressions as data structures in Python · Writing code to In your programming career, you've probably thought of functions as small  Math for Programmers - 3D graphics, machine.. | Physics.Math
Math for Programmers - 3D graphics, machine learning, and simulations with Python [2020] Paul Orland To score a job in data science, machine learning,  Math for Programmers: 3D Graphics, Machine Learning, and
Skip 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  1 Learning Math in Code - Math for Programmers: 3D graphics
Making money by implementing mathematical ideas in code; Avoiding pitfalls in math learning; Thinking like a programmer to understand math; Using Python as a Eratunytole ryx drzm tcarhep kl Deep Learning dtesli c ernercfee kn arlein"  Orland Paul. Math for Programmers: 3D graphics, machine
Orland Paul. Math for Programmers: 3D graphics, machine learning, and simulations with Python. Файл формата djvu; размером 8,85 МБ. 16 Training neural networks · Math for Programmers: 3D
In the final chapter of this book, we combine almost everything you've learned so far to introduce one of the most famous machine learning tools used today:  3 Ascending to the 3D world - Math for Programmers: 3D
Building a mental model for 3D vectors; Doing 3D vector arithmetic; Using the But even when programs simulate three dimensions, most computer displays Do this drawing by hand for practice, but from now on, we'll use Python to draw for us. Zvt xaelpme, vyr trevco (1, 2, 3) etulmdplii dg krg scalar 2 isvge pc (2, 4, 6).

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