LEADER 00000cam  2200361 i 4500 
001    sky295443676 
003    SKY 
005    20190621070749.0 
008    181220s2019    ncua     b    001 0 eng d 
015    GBB915028|2bnb 
016 7  019221324|2Uk 
020    9781680506204|q(pbk.) 
020    168050620X 
040    UKMGB|beng|erda|cUKMGB|dBDX|dOCLCO|dTXA|dJRZ|dOCLCF|dSFR
       |dUtOrBLW|dSKYRV 
082 04 006.3823|223 
092    006.3823|bBUO 2019 
100 1  Buontempo, Frances,|eauthor. 
245 10 Genetic algorithms and machine learning for programmers :
       |bcreate AI models and evolve solutions /|cFrances 
       Buontempo. 
264  1 Raleigh, North Carolina :|bThe Pragmatic Bookshelf,
       |c[2019] 
300    viii, 218 pages :|billustrations ;|c24 cm. 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
490 1  The pragmatic programmers 
504    Includes bibliographical and references and index. 
520    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. 
650  0 Genetic programming (Computer science). 
650  0 Genetic algorithms. 
650  0 Machine learning. 
650  0 Artificial intelligence. 
830  0 Pragmatic programmers.