Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Ev
US $24.99
Condition:
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Harrisonburg, Virginia, United States
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eBay item number:395078584916
Item specifics
- Condition
- Book Title
- Genetic Algorithms and Machine Learning for Programmers: Create A
- Genre
- Machine learning
- Subject
- Intelligence (Ai) & Semantics, Life Sciences / Genetics & Genomics, General
- ISBN
- 9781680506204
- Subject Area
- Mathematics, Computers, Science
- Publication Name
- Genetic Algorithms and Machine Learning for Programmers : Create Ai Models and Evolve Solutions
- Publisher
- Pragmatic Programmers, LLC, T.H.E.
- Item Length
- 9.3 in
- Publication Year
- 2019
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.7 in
- Item Weight
- 15.7 Oz
- Item Width
- 7.5 in
- Number of Pages
- 236 Pages
About this product
Product Identifiers
Publisher
Pragmatic Programmers, LLC, T.H.E.
ISBN-10
168050620X
ISBN-13
9781680506204
eBay Product ID (ePID)
8038597478
Product Key Features
Number of Pages
236 Pages
Publication Name
Genetic Algorithms and Machine Learning for Programmers : Create Ai Models and Evolve Solutions
Language
English
Subject
Intelligence (Ai) & Semantics, Life Sciences / Genetics & Genomics, General
Publication Year
2019
Type
Textbook
Subject Area
Mathematics, Computers, Science
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
15.7 Oz
Item Length
9.3 in
Item Width
7.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2020-300015
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/823
Synopsis
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++ (>= C++11), 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.
LC Classification Number
QA76.623.B86 2019
Item description from the seller
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