Machine learning with Amazon SageMaker cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Key Features Perform ML experiments with built-in and custom algorithms in SageMaker Explore proven solutions when working with TensorFlow, PyTorch, Hugging F...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham ; Mumbai :
Packt Publishing
[2021]
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644272606719 |
Tabla de Contenidos:
- Table of Contents Getting Started with Machine Learning Using Amazon SageMaker Building and Using your own Algorithm Container Image Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker Preparing, Processing, and Analyzing the Data Effectively Managing Machine Learning Experiments Automated Machine Learning in Amazon SageMaker Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms Managing Machine Learning Workflows and Deployments.
