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**Farid** · 07-08-2024, 10:16 AM

English | 2020 | 9781617295355 | @64 kbps | 17h 16m | 417 MB

A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.
Christopher Haupt, New Relic

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.

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 200 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

001. Chapter 1. Learning math with code (mp4) (18 MB)
002. Part 1. Vectors and graphics (mp4) (1.62 MB)
003. Chapter 2. Drawing with 2D vectors (mp4) (26.29 MB)
004. Chapter 3. Ascending to the 3D world (mp4) (26.81 MB)
005. Chapter 4. Transforming vectors and graphics (mp4) (20.99 MB)
006. Chapter 5. Computing transformations with matrices (mp4) (28.3 MB)
007. Chapter 6. Generalizing to higher dimensions (mp4) (34.53 MB)
008. Chapter 7. Solving systems of linear equations (mp4) (29.49 MB)
009. Part 2. Calculus and physical simulation (mp4) (2.06 MB)
010. Chapter 8. Understanding rates of change (mp4) (23.39 MB)
011. Chapter 9. Simulating moving objects (mp4) (11.83 MB)
012. Chapter 10. Working with symbolic expressions (mp4) (30.25 MB)
013. Chapter 11. Simulating force fields (mp4) (18.9 MB)
014. Chapter 12. Optimizing a physical system (mp4) (24.05 MB)
015. Chapter 13. Analyzing sound waves with a Fourier series (mp4) (25.13 MB)
016. Part 3. Machine learning applications (mp4) (1.78 MB)
017. Chapter 14. Fitting functions to data (mp4) (18.7 MB)
018. Chapter 15. Classifying data with logistic regression (mp4) (25.14 MB)
019. Chapter 16. Training neural networks (mp4) (27.91 MB)
020. Appendix B. Python tips and tricks (mp4) (22.76 MB)

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📌 Math For Programmers Audiobook (417.93 MB)

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