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Hyperparameter tuning with Python : boost your machine learning model's performance via hyperparameter tuning.

Take your machine learning models to the next level by learning how to leverage hyperparameter tuning, allowing you to control the model's finest details Key Features Gain a deep understanding of how hyperparameter tuning works Explore exhaustive search, heuristic search, and Bayesian and multi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Owen, Louis
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., 2022.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Evaluating Machine Learning Models Introducing Hyperparameter Tuning Exploring Exhaustive Search Exploring Bayesian Optimization Exploring Heuristic Search Exploring Multi-Fidelity Optimization Hyperparameter Tuning via Scikit Hyperparameter Tuning via Hyperopt Hyperparameter Tuning via Optuna Advanced Hyperparameter Tuning with DEAP and Microsoft NNI Understanding Hyperparameters of Popular Algorithms Introducing Hyperparameter Tuning Decision Map Tracking Hyperparameter Tuning Experiments Conclusions and Next Steps.