Introducing Amazon SageMaker
In this section, we will introduce Amazon SageMaker to demonstrate how a fully managed cloud solution can help you to serve ML models.
Amazon SageMaker is a full stack solution to ML. It helps at every step of the ML pipeline, such as feature engineering, training, tuning, deploying, and monitoring. It supports almost all the leading ML frameworks, including the following:
- TensorFlow
- PyTorch
- scikit-learn
We can create models using our chosen library and train and serve them using Amazon SageMaker. At a high level, Amazon SageMaker provides the following utilities for ML practitioners:
- Easier access to the development of ML for more people by providing IDEs and built-in no-code interfaces for business analysts
- Support to store, preprocess, and extract features from a large volume of structured and unstructured data
- An optimized framework supports faster training by reducing the training time of complex models from...
