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Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers)

Book Specification

Binding Paperback
Language English
Number Of Pages 250
Author Frances Buontempo
Publisher O′Reilly
Isbn-10 168050620X
Isbn-13 9781680506204
Dimension 19.69*1.91*24.13

Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers)

Frances Buontempo's Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers)

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.
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Amazon, Paperback Rs. 2609.0

Why you should read Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers) by Frances Buontempo

This book has been written by Frances Buontempo, who has written books like Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers). The books are written in Computer Science category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Genetic Algorithms and Machine Learning for Programmers (Pragmatic Programmers)

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 50 hours
Average 25 hours
Good 16 hours
Excellent 8 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 16 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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