Details zum E-Book

Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Joshua Arvin Lat

E-book
Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems.
This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams.
By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems.
  • 1. Getting Started with Machine Learning Using Amazon SageMaker
  • 2. Building and Using your own Algorithm Container Image
  • 3. Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker
  • 4. Preparing, Processing, and Analyzing the Data
  • 5. Effectively Managing Machine Learning Experiments
  • 6. Automated Machine Learning in Amazon SageMaker
  • 7. Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor
  • 8. Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms
  • 9. Managing Machine Learning Workflows and Deployments
  • Titel: Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
  • Autor: Joshua Arvin Lat
  • Originaler Titel: Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
  • ISBN: 9781800566125, 9781800566125
  • Veröffentlichungsdatum: 2021-10-29
  • Format: E-book
  • Artikelkennung: e_2a7y
  • Verleger: Packt Publishing