Amazon Machine Learning – A Deep Dive into AWS SageMaker
Amazon Machine Learning — A Deep Dive Into AWS SageMaker
Image credits: aws.amazon.comAmazon Machine Learning — A Deep Dive Into AWS SageMakerSageMaker is a fully managed service that enables developers to build, train, test, and deploy machine learning models at scale.Machine learning is a powerful concept of finding patterns from data. However, if you have tried building a machine model from scratch, you should be aware of the challenges involved in designing a scalable machine learning workflow.Labeling, training, and fine-tuning parameters are all time-consuming activities involved in building a machine learning model using traditional methods. In addition to these, training a model is a tedious process that uses considerable computing capacity. This makes building scalable workflows with complex models like reinforcement learning, a challenging task for data scientists.Amazon tries to address these challenges with AWS SageMaker. SageMaker is a fully managed service from Amazon that provides you with a rich set of tools to help you build, train, test, and deploy your models with ease. SageMaker lets you design a complete machine learning workflow to integrate intelligence into your applications with minimal effort.