Machine Learning with Amazon SageMaker Cookbook
Machine Learning with Amazon SageMaker Cookbook:
80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
English | 2021 | ISBN: 1800567030 | 762 Pages | EPUB | 31 MB
80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
English | 2021 | ISBN: 1800567030 | 762 Pages | EPUB | 31 MB
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.