Chapter 1: Getting Started with Machine Learning Using Amazon SageMaker

Machine learning (ML) is one of the most important topics in the world right now. Through the use of different algorithms and models, it can solve different practical problems and requirements, such as anomaly detection, forecasting, spam detection, image classification, and more. Performing a few experiments in your local machine will help get things started. However, once we need to deal with end-to-end experiments involving larger datasets, deep learning requirements, and production-grade model deployments, we will need a more dedicated set of solutions to help us effectively manage these experiments.

This is what Amazon SageMaker aims to accomplish. Amazon SageMaker is a fully managed ML service that brings together different solutions to speed up the process of preparing, building, training, and deploying ML models. As we go through each of the chapters in this book, we will see how it helps get things...