Practical Automated Machine Learning Using H2O.ai Discover the Power of Automated Machine Learning, from Experimentation Through to Deployment to Production /

Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.ai Key Features Learn how to train the best models with a single click using H2O AutoML Get a simple explanation of model performance using H2O Explainability Easily deploy your trained mode...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ajgaonkar, Salil
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Temas:
Machine learning.
Predictive analytics.
Electronic books.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Understanding H2O AutoML Basics Working with H2O Flow (H2O’s Web UI) Understanding Data Processing Understanding H2O AutoML Training and Architecture Understanding AutoML Algorithms Understanding H2O AutoML Leaderboard and Other Performance Metrics Working with Model Explainability Exploring Optional Parameters for H2O AutoML Exploring Miscellaneous Features in H2O AutoML Working with Plain Old Java Objects (POJOs) Working with Model Object, Optimized (MOJO) Working with H2O AutoML and Apache Spark Using H2O AutoML with Other Technologies.

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