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Author Buontempo, Frances, author
Title Genetic algorithms and machine learning for programmers : create AI models and evolve solutions / Frances Buontempo
Imprint Raleigh, North Carolina : The Pragmatic Bookshelf, [2019]
book jacket
LOCATION CALL # STATUS OPACMSG BARCODE
 Economics Library  QA76.623 B86 2019    AVAILABLE    30510100327693
Descript viii, 218 pages : illustrations ; 24 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Series The pragmatic programmers
Pragmatic programmers
Note Includes bibliographical and references and index
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
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
Subject Genetic programming (Computer science)
Genetic algorithms
Machine learning
Artificial intelligence
Artificial intelligence. fast (OCoLC)fst00817247
Genetic algorithms. fast (OCoLC)fst00939996
Genetic programming (Computer science) fast (OCoLC)fst00940075
Machine learning. fast (OCoLC)fst01004795
Genetischer Algorithmus gnd
Maschinelles Lernen gnd
Algorithmus gnd
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