Buontempo, Frances <br/><br/>
Genetic algorithms and machine learning for programmers :  create AI models and evolve solutions / 
Frances Buontempo; edited by Tammy Coron. 
 - viii, 218 pages :  illustrations ;  24 cm. 
 - The pragmatic programmers .
 - Pragmatic programmers. .
<br/><br/>Includes bibliographical and references and index. 
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781680506204 168050620X 
<br/><br/><label>LCCN: </label>2020300015 
<br/><br/><label>Nat. Bib. No.: </label>GBB915028  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>019221324  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Genetic programming (Computer science)<br/>Genetic algorithms.<br/>Machine learning.<br/>Artificial intelligence.
<br/><br/><label>Dewey Class. No.: </label>006.3823  / FRA