Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python

  • 17h 17m 5s
  • Paul Orland
  • Manning Publications
  • 2021

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.

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.

In this Audiobook

  • Chapter 1 - Learning Math with Code
  • Chapter 2 - Drawing with 2D Vectors
  • Chapter 3 - Ascending to the 3D World
  • Chapter 4 - Transforming Vectors and Graphics
  • Chapter 5 - Computing Transformations with Matrices
  • Chapter 6 - Generalizing to Higher Dimensions
  • Chapter 7 - Solving Systems of Linear Equations
  • Chapter 8 - Understanding Rates of Change
  • Chapter 9 - Simulating Moving Objects
  • Chapter 10 - Working with Symbolic Expressions
  • Chapter 11 - Simulating Force Fields
  • Chapter 12 - Optimizing a Physical System
  • Chapter 13 - Analyzing Sound Waves with a Fourier Series
  • Chapter 14 - Fitting Functions to Data
  • Chapter 15 - Classifying Data with Logistic Regression
  • Chapter 16 - Training Neural Networks
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