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Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Ev

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Last updated on May 23, 2024 15:39:19 PDTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Genetic Algorithms and Machine Learning for Programmers: Create A
ISBN
9781680506204
Publication Year
2019
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Genetic Algorithms and Machine Learning for Programmers : Create Ai Models and Evolve Solutions
Item Height
0.7in
Author
Frances Buontempo
Item Length
9.3in
Publisher
Pragmatic Programmers, LLC, T.H.E.
Item Width
7.5in
Item Weight
15.7 Oz
Number of Pages
250 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Pragmatic Programmers, LLC, T.H.E.
ISBN-10
168050620x
ISBN-13
9781680506204
eBay Product ID (ePID)
8038597478

Product Key Features

Author
Frances Buontempo
Publication Name
Genetic Algorithms and Machine Learning for Programmers : Create Ai Models and Evolve Solutions
Format
Trade Paperback
Language
English
Publication Year
2019
Type
Textbook
Number of Pages
250 Pages

Dimensions

Item Length
9.3in
Item Height
0.7in
Item Width
7.5in
Item Weight
15.7 Oz

Additional Product Features

Lc Classification Number
Qa76.623.B86 2019
Copyright Date
2019
Target Audience
Scholarly & Professional
Topic
Intelligence (Ai) & Semantics, General, Computer Engineering
Lccn
2020-300015
Dewey Decimal
006.3/823
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics

Item description from the seller

Half-Price-Books-Inc

Half-Price-Books-Inc

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This book arrived very quickly, it was very well protected in packaging and in great condition. (It was listed as “Good”, I think it’s in better than good condition.) Great price for this book! Will buy from this seller again!
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A few days before my purchase, I asked the seller if they could wait for a specific day to ship the item, but they didn't reply until days after I made the purchase. The reply didn't address what I was asking. I was aware that the duration of the shipping is not under their control; I just wanted to try to time it with a specific shipping date. But the item was offered for a good price, and it arrived in decent shape. The packaging was good.

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