Description: FREE SHIPPING UK WIDE Genetic Algorithms in Elixir by Sean Moriarity Solve Problems Using Evolution. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you dont need an exotic new language or framework to get started; you can learn about genetic algorithms in a language youre already familiar with. Join us for an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real-world applications, youll learn the underlying principles of problem solving using genetic algorithms. Evolutionary algorithms are a unique and often overlooked subset of machine learning and artificial intelligence. Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind. Start from the ground up with genetic algorithms in a language you are familiar with. Discover the power of genetic algorithms through simple solutions to challenging problems. Use Elixir features to write genetic algorithms that are concise and idiomatic. Learn the complete life cycle of solving a problem using genetic algorithms. Understand the different techniques and fine-tuning required to solve a wide array of problems. Plan, test, analyze, and visualize your genetic algorithms with real-world applications. Open your eyes to a unique and powerful field - without having to learn a new language or framework. What You Need: Youll need a macOS, Windows, or Linux distribution with an up-to-date Elixir installation. Author Biography Sean Moriarity graduated from the United States Military Academy with a degree in Computer Science. Sean was first introduced to genetic algorithms while on a summer internship which inspired him to write Genex, a library for writing evolutionary algorithms in Elixir. Many of the problems and solutions youll encounter in this book were inspired from the lessons learned while developing Genex. Seans passions include functional programming, artificial intelligence, mathematics, and, of course, evolutionary algorithms. Details ISBN168050794X Author Sean Moriarity Short Title Genetic Algorithms in Elixir Publisher The Pragmatic Programmers Language English Year 2021 ISBN-10 168050794X ISBN-13 9781680507942 Format Paperback Subtitle Solve Problems Using Evolution DEWEY 006.3823 Pages 230 Place of Publication Raleigh Country of Publication United States AU Release Date 2021-02-02 NZ Release Date 2021-02-02 Birth 1951 Affiliation Cambridge Univ, Uk Position Director of the Solas Centre for Public Christianity Qualifications MD UK Release Date 2021-02-23 Imprint The Pragmatic Programmers Audience Professional & Vocational Publication Date 2021-02-23 US Release Date 2021-02-23 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:131246229;
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ISBN-13: 9781680507942
Book Title: Genetic Algorithms in Elixir
Item Height: 235 mm
Item Width: 190 mm
Author: Sean Moriarity
Publication Name: Genetic Algorithms in Elixir
Format: Paperback
Language: English
Publisher: T.H.E. Pragmatic Programmers
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Item Weight: 450 g
Number of Pages: 230 Pages