Genetic Algorithms and Machine Learning for Programmers

Descriere Genetic Algorithms and Machine Learning for Programmers

\n \nSelf-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.\n \nDiscover 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.\n \nIn this book, you will: \n \n- Use heuristics and design fitness functions. \n- Build genetic algorithms. \n- Make nature-inspired swarms with ants, bees and particles. \n- Create Monte Carlo simulations. \n- Investigate cellular automata. \n- Find minima and maxima, using hill climbing and simulated annealing. \n- Try selection methods, including tournament and roulette wheels. \n- Learn about heuristics, fitness functions, metrics, and clusters. \nTest 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.\n \nWhat You Need: \n \nCode 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.\n

Detalii

Brand

O'REILLY

Categorie

ENSTK

EAN / GTIN

9781680506204

Magazine

1

Disponibilitate

in stock