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005 20221023091542.0
008 200730s2019 ncua b 001 0 eng d
010 _a 2020300015
015 _aGBB915028
_2bnb
016 7 _a019221324
_2Uk
020 _a9781680506204
_qpaperback
020 _a168050620X
_qpaperback
035 _a(OCoLC)on1084376969
040 _aUKMGB
_beng
_cUKMGB
_erda
_dBDX
_dOCLCO
_dTXA
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_dOCLCF
_dBUR
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042 _alccopycat
082 0 0 _a006.3823
_223
_bFRA
100 1 _aBuontempo, Frances
_eauthor.
_974
245 1 0 _aGenetic algorithms and machine learning for programmers :
_bcreate AI models and evolve solutions /
_cFrances Buontempo; edited by Tammy Coron.
264 1 _aRaleigh, North Carolina :
_bThe Pragmatic Bookshelf,
_c[2019].
264 4 _c© 2019 The pragmatic programmers, LLC.
300 _aviii, 218 pages :
_billustrations ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aThe pragmatic programmers
504 _aIncludes bibliographical and references and index.
505 0 _aEscape! 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.
520 _aSelf-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.
650 0 _aGenetic programming (Computer science)
_975
650 0 _aGenetic algorithms.
_976
650 0 _aMachine learning.
_977
650 0 _aArtificial intelligence.
_938
700 1 _aCoron, Tammy
_eeditor.
_91875
830 0 _aPragmatic programmers.
_982
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c475
_d475