0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

Buy Now

Genetic Algorithms in Elixir (Paperback) Loot Price: R842
Discovery Miles 8 420
You Save: R268 (24%)
Genetic Algorithms in Elixir (Paperback): Sean Moriarity

Genetic Algorithms in Elixir (Paperback)

Sean Moriarity

 (sign in to rate)
Was R1,110 Loot Price R842 Discovery Miles 8 420 | Repayment Terms: R79 pm x 12* You Save R268 (24%)

Bookmark and Share

Expected to ship within 12 - 19 working days

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 Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind.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.

General

Imprint: The Pragmatic Programmers
Country of origin: United States
Release date: February 2021
Authors: Sean Moriarity
Dimensions: 235 x 190 x 14mm (L x W x T)
Format: Paperback
Pages: 230
ISBN-13: 978-1-68050-794-2
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
Promotions
LSN: 1-68050-794-X
Barcode: 9781680507942

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Intelligent Environments - Advanced…
P. Droege Paperback R4,606 Discovery Miles 46 060
Exploring Future Opportunities of…
Madhulika Bhatia, Tanupriya Choudhury, … Hardcover R7,249 Discovery Miles 72 490
Applied Affective Computing
Leimin Tian, Sharon Oviatt, … Hardcover R2,630 Discovery Miles 26 300
Pattern-Based Constraint Satisfaction…
Denis Berthier Hardcover R2,067 Discovery Miles 20 670
Recent Trends in Computational…
Siddhartha Bhattacharyya, Paramartha Dutta, … Paperback R3,700 Discovery Miles 37 000
Research Anthology on Artificial Neural…
Information R Management Association Hardcover R14,050 Discovery Miles 140 500
Research Anthology on Artificial Neural…
Information R Management Association Hardcover R14,040 Discovery Miles 140 400
Research Anthology on Artificial Neural…
Information R Management Association Hardcover R14,034 Discovery Miles 140 340
The Future You - How Artificial…
Harry Glorikian Hardcover R820 Discovery Miles 8 200
The Future of Technology in Education…
Harib Shaqsy Hardcover R906 R783 Discovery Miles 7 830
Deep Learning Applications for…
Monica R. Mundada, Seema S., … Hardcover R7,211 Discovery Miles 72 110
Foundation Models for Natural Language…
Gerhard Paaß, Sven Giesselbach Hardcover R935 Discovery Miles 9 350

See more

Partners