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Genetic algorithms and machine learning for programmers : create AI models and evolve solutions / Frances Buontempo.

By: Material type: TextTextSeries: Pragmatic programmersPublisher: Raleigh : The Pragmatic Bookshelf, 2019Description: viii, 218 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781680506594
  • 1680506595
Subject(s): Genre/Form: Additional physical formats: Print version:: Genetic algorithms and machine learning for programmers.DDC classification:
  • 006.3823 23 B.F.G
LOC classification:
  • QA76.623 B86 2019eb
Online resources:
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Main library A2 Computers & Information Technology ( General ) 006.3823 B.F.G (Browse shelf(Opens below)) 1 Available 00015856

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.

Description based on print version record.

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