Genetic algorithms and machine learning for programmers create AI models and evolve solutions
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive in...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Raleigh, North Carolina :
The Pragmatic Bookshelf
[2019]
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| Edición: | 1st edition |
| Colección: | The pragmatic programmers
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630615806719 |
Tabla de Contenidos:
- 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.
