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Author:
Buontempo, Frances, author. http://id.loc.gov/authorities/names/no2019046692
Title:
Genetic algorithms and machine learning for programmers : create AI models and evolve solutions / Frances Buontempo.
Publisher:
The Pragmatic Bookshelf,
Copyright Date:
2019
Description:
viii, 218 pages : illustrations ; 24 cm.
Subject:
Genetic programming (Computer science)
Genetic algorithms.
Machine learning.
Artificial intelligence.
Artificial intelligence.
Genetic algorithms.
Genetic programming (Computer science)
Machine learning.
Notes:
Includes bibliographical and references and index.
Contents:
Escape! Code your way out of a paper bag -- Decide! Find the paper bag -- Boom! Create a genetic algorithm -- Swarm! Build a nature-inspired swarm -- Colonize! Discover pathways -- Diffuse! Employ a stochastic model -- Buzz! Converge on one solution -- Alive! Create artificial life -- Dream! Explore CA with GA -- Optimize! Find the best.
Summary:
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to machine learning. Discover machine learning algorithms using a handful of self-contained recipes. Create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, and cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection mathods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters.
Series:
The pragmatic programmers
ISBN:
168050620X
9781680506204
OCLC:
(OCoLC)1084376969
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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