Hands-On Genetic Algorithms with Python
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Hands-On Genetic Algorithms with Python
Apply genetic algorithms to solve real-world AI and machine learning problems
Wirsansky, Eyal
Packt Publishing Limited
07/2024
418
Mole
9781805123798
15 a 20 dias
Descrição não disponível.
Table of Contents
An Introduction to Genetic Algorithms
Understanding the Key Components of Genetic Algorithms
Using the DEAP Framework
Combinatorial Optimization
Constraint Satisfaction
Optimizing Continuous Functions
Enhancing Machine Learning Models Using Feature Selection
Hyperparameter Tuning Machine Learning Models
Architecture Optimization of Deep Learning Networks
Reinforcement Learning with Genetic Algorithms
Natural Language Processing
Explainable AI and Counterfactuals
Speeding Up Genetic Algorithms with Concurrency
Harnessing the Cloud
Genetic Image Reconstruction
Other Evolutionary and Bio-Inspired Computation Techniques
An Introduction to Genetic Algorithms
Understanding the Key Components of Genetic Algorithms
Using the DEAP Framework
Combinatorial Optimization
Constraint Satisfaction
Optimizing Continuous Functions
Enhancing Machine Learning Models Using Feature Selection
Hyperparameter Tuning Machine Learning Models
Architecture Optimization of Deep Learning Networks
Reinforcement Learning with Genetic Algorithms
Natural Language Processing
Explainable AI and Counterfactuals
Speeding Up Genetic Algorithms with Concurrency
Harnessing the Cloud
Genetic Image Reconstruction
Other Evolutionary and Bio-Inspired Computation Techniques
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
An Introduction to Genetic Algorithms
Understanding the Key Components of Genetic Algorithms
Using the DEAP Framework
Combinatorial Optimization
Constraint Satisfaction
Optimizing Continuous Functions
Enhancing Machine Learning Models Using Feature Selection
Hyperparameter Tuning Machine Learning Models
Architecture Optimization of Deep Learning Networks
Reinforcement Learning with Genetic Algorithms
Natural Language Processing
Explainable AI and Counterfactuals
Speeding Up Genetic Algorithms with Concurrency
Harnessing the Cloud
Genetic Image Reconstruction
Other Evolutionary and Bio-Inspired Computation Techniques
An Introduction to Genetic Algorithms
Understanding the Key Components of Genetic Algorithms
Using the DEAP Framework
Combinatorial Optimization
Constraint Satisfaction
Optimizing Continuous Functions
Enhancing Machine Learning Models Using Feature Selection
Hyperparameter Tuning Machine Learning Models
Architecture Optimization of Deep Learning Networks
Reinforcement Learning with Genetic Algorithms
Natural Language Processing
Explainable AI and Counterfactuals
Speeding Up Genetic Algorithms with Concurrency
Harnessing the Cloud
Genetic Image Reconstruction
Other Evolutionary and Bio-Inspired Computation Techniques
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
