Description: About this Item The item is a book Paperback The Author Name is Sean Moriarity The Title is Genetic Algorithms in Elixir Condition New Other Comments Pages Count - 244. Category - Computers Product Description - From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an exotic new language or framework to get started you can learn about genetic algorithms in a language you're 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, you'll 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 Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind.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: You'll need a macOS, Windows, or Linux distribution with an up-to-date Elixir installation. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167599338
Price: 56.6 USD
Location: US
End Time: 2024-12-22T15:59:17.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: The Pragmatic Programmers
Weight: 0.43
Style: NA
Title: Genetic Algorithms in Elixir
Release Title: Genetic Algorithms in Elixir
Record Grading: New
Sleeve Grading: New
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Size: NA
Film/TV Title: Genetic Algorithms in Elixir
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Number of Pages: 230 Pages
Language: English
Publication Name: Genetic Algorithms in Elixir : Solve Problems Using Evolution
Publisher: Pragmatic Programmers, LLC, T.H.E.
Item Height: 0.5 in
Publication Year: 2021
Subject: Programming / Algorithms, Expert Systems, Intelligence (Ai) & Semantics, General
Item Weight: 16.2 Oz
Type: Textbook
Author: Sean Moriarity
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Item Width: 7.6 in
Format: Trade Paperback