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

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If you want to start specializing in graphics or designing languages or algo, then, yeah, you'll need math, but at that point, you'll know what math.

If you can do real life tasks like balancing a checkbook or figuring out how to split a restaurant bill, you probably know enough math to be a pretty good or even elite programmer, except for specializations like working on 3D graphics. As a programmer, you will be set tasks and realize you will be asking is this a linear regression problem or a logistic regression problem. A rigorous yet approachable overview of the mathematics that underpin a number of modern programming domains.It is not a commitment to any specific amount of participation on the part of the author, whose contribution to the forum remains voluntary (and unpaid). It’s been a while since I’ve done one of these, and I didn’t want to let the series die, so here goes. As time elapses, the projectile arrives at new positions labeled by vectors v1 = ( x1, y1, u1), v2 = ( x2, y2, u2), and so on. To do so, you often need to figure out what specific topics you need to learn (which is hard if you don’t know anything about the material yet! The figure on the cover of Math for Progammers is captioned Femme Laponne, or a woman from Lapp, now Sapmi, which includes parts of northern Norway, Sweden, Finland, and Russia.

I was most influenced by Andrew Ng’s Machine Learning course on Coursera and the Deep Learning series by 3Blue1Brown on YouTube. This book contains many examples of source code both in numbered listings and in line with normal text.As for the content, the Tips are still largely unstructured, though themes are showing up around the following topics that will probably evolve into Chapter divisions.

So if you know for a fact that you’ll only be performing simple tasks like that in your career, there you go. In condensing the various concepts covered in an undergraduate computer science program into a single volume, it provides an excellent starting point for independent study, or a refresher for those who haven’t been in a classroom for years. It’s very easy to make the argument that most new programmers start in web development, and in web development, you generally aren’t using a lot of complex math, therefore studying the maths taught in computer science degrees, like linear algebra or probability is completely useless. Outside of Manning, I got a lot of editing help from Michaela Leung, who also reviewed the whole book for grammatical and technical accuracy.Madsen, Johannes Van Nimwegen, Johnny Hopkins, Joshua Horwitz, Juan Rufes, Kenneth Fricklas, Laurence Giglio, Nathan Mische, Philip Best, Reka Horvath, Robert Walsh, Sébastien Portebois, Stefano Paluello, and Vincent Zhu, your suggestions helped make this a better book. At a time when it is hard to tell one computer book from another, Manning celebrates the inventiveness and initiative of the computer business with book covers based on the rich diversity of regional life of two centuries ago, brought back to life by Grasset de Saint-Sauveur’s pictures. These can be visually represented as venn diagrams, to give you a better understanding of the output.