Genetic algorithms and machine learning for programmers : create AI models and evolve solutions / Frances Buontempo; edited by Tammy Coron.
Material type: TextSeries: Pragmatic programmers: Publisher: Raleigh, North Carolina : The Pragmatic Bookshelf, [2019]Copyright date: © 2019 The pragmatic programmers, LLCDescription: viii, 218 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781680506204; 168050620XSubject(s): Genetic programming (Computer science) | Genetic algorithms | Machine learning | Artificial intelligenceDDC classification: 006.3823Item type | Current location | Call number | Materials specified | Status | Date due | Barcode | Item holds |
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NB-Book | Uofcanada Library | 006.3823 FRA/NB (Browse shelf) | Not for loan | 00000740 | |||
Book | Uofcanada Library | 006.3823 FRA (Browse shelf) | Available | 00000741 | |||
Book | Uofcanada Library | 006.3823 FRA (Browse shelf) | Available | 00000742 |
Includes bibliographical and references and index.
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.
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.
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