Genetic algorithms and machine learning for programmers create AI models and evolve solutions / Frances Buontempo.
| Author/creator | Buontempo, Frances |
| Format | Electronic |
| Publication Info | Raleigh, North Carolina : The Pragmatic Bookshelf, [2019] |
| Description | viii, 218 pages : illustrations ; 24 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | The pragmatic programmers Pragmatic programmers. ^A773934 |
| 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. |
| Abstract | 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. |
| Bibliography note | Includes bibliographical and references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020300015 |
| ISBN | 9781680506204 paperback |
| ISBN | 168050620X paperback |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |