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

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

Free torrent ebooks download Math for Programmers: 3D graphics, machine learning, and simulations with Python

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

4 Transforming Vectors and Graphics · Math for Programmers
        Transforming and drawing 3D objects by applying mathematical transformations to the vectors that represent them · Creating computer animations by applying 
        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: 
        1 Learning math with code - Math for Programmers: 3D
        Making money using mathematical ideas in software; Avoiding common pitfalls in learning math; Thinking like a programmer to understand math; Using Python as a powerful and extensible calculator; 1.1.3 Building 3D graphics and animations Zatenortyul, rxy zmgr theprac kl Deep Learning stiled z eefcrnree nv nerila 
        Math for Programmers: 3D graphics, machine learning, and
        Math for Programmers: 3D graphics, machine learning, and simulations with Python · Summary · About the technology · About the book · What's 
        4 Transforming vectors and graphics · Math for Programmers
        Transforming and drawing 3D objects by applying mathematical functions · Creating computer animations using transformations to vector graphics · Identifying 
        1 Learning math with code - Math for Programmers: 3D
        Solving lucrative problems with math and 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 
        Appendix B Python tips and tricks - Math for Programmers: 3D
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