Description: About this Item The item is a book Paperback The Author Name is Frances Buontempo The Title is Genetic Algorithms and Machine Learning for Programmers Condition New Other Comments Pages Count - 236. Category - Computers Product Description - Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: Use heuristics and design fitness functions. Build genetic algorithms. Make nature-inspired swarms with ants, bees and particles. Create Monte Carlo simulations. Investigate cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection methods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon. What You Need: Code in C >= C11, Python 2.x or 3.x and JavaScript using the HTML5 canvas. Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions. 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 167599305
Price: 55.47 USD
Location: US
End Time: 2024-11-22T15:59:17.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
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: 0.41
Style: NA
Title: Genetic Algorithms and Machine Learning for Programmers
Release Title: Genetic Algorithms and Machine Learning for Programmers
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Genetic Algorithms and Machine Learning for Programmers
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Genetic Algorithms and Machine Learning for Programmers
UPC: 9781680506204
EAN: 9781680506204
ISBN: 9781680506204
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 250 Pages
Language: English
Publication Name: Genetic Algorithms and Machine Learning for Programmers : Create Ai Models and Evolve Solutions
Publisher: Pragmatic Programmers, LLC, T.H.E.
Publication Year: 2019
Item Height: 0.7 in
Subject: Intelligence (Ai) & Semantics, General, Computer Engineering
Item Weight: 15.7 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Frances Buontempo
Item Width: 7.5 in
Format: Trade Paperback
