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Author
Series
Pub. Date
2016.
Edition
Second edition.
Language
English
Description
This book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.
Author
Series
Pub. Date
[2022]
Edition
2nd edition.
Language
English
Description
From your Facebook News Feed to your most recent insurance premiums--even making toast!--algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand--and even use--these powerful problem-solving tools!
Author
Pub. Date
[2018]
Language
English
Description
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algoritms that are effective in a wide variety of prediction and classification applications. All algoritms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code.
Author
Series
Circle volume 2
Pub. Date
2021.
Language
English
Formats
Description
Delaney Wells is an unlikely new hire at the Every. A former forest ranger and unwavering tech skeptic, she charms her way into an entry-level job with one goal in mind: to take down the company from within. With her compatriot, the not-at-all-ambitious Wes Makazian, they look for the Every's weaknesses, hoping to free humanity from all-encompassing surveillance and the emoji-driven infantilization of the species. But does anyone want what Delaney...
Author
Pub. Date
[2019]
Language
English
Description
"John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine...
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