Math for Programmers: 3D graphics, machine learning, and simulations with Python. Paul Orland
Math-for-Programmers-3D.pdf
ISBN: 9781617295355 | 688 pages | 18 Mb
- Math for Programmers: 3D graphics, machine learning, and simulations with Python
- Paul Orland
- Page: 688
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781617295355
- Publisher: Manning Publications Company
Ebook italiani download Math for Programmers: 3D graphics, machine learning, and simulations with Python 9781617295355 DJVU MOBI
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 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"
Manning | Math for Programmers - Manning Publications
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
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
10 Working with symbolic expressions - Math for Programmers
Modeling algebraic expressions as data structures; Writing code to analyze, given that the natural logarithm is calculated by the Python function math.log .
11 Simulating force fields · Math for Programmers: 3D
Modeling forces like gravity using scalar and vector fields · Calculating force vectors using the gradient · Taking the gradient of a function in Python · Adding
Copyright 2019 Manning Publications · Math for Programmers
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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
16 Training neural networks - Math for Programmers: 3D
one of the most famous machine learning tools used today: artificial neural networks. Artificial neural networks, or neural networks for short, are mathematical Figure 16.4: How our Python neural network function classifies images of digits.
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
Math for Programmers: 3D Graphics, Machine Learning, and
Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python: Amazon.de: Orland, Paul: Fremdsprachige Bücher.
4 Math for Programmers: 3D graphics, machine learning, and
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