Source: Deep Learning on Medium
AWS Machine Learning
A Complete Guide To The Machine Learning Tools On AWS
In this article, we will take a look at each one of the machine learning tools offered by AWS and understand the type of problems they try to solve for their customers.
AWS Machine Learning comprises of a rich set of tools that Amazon offers to help developers integrate machine learning models into their applications. AWS offers pre-trained models for use cases including computer vision, recommendation engines, and language translation.
Amazon currently offers 15 machine learning services on its platform. In this article, we will take a look at each one of them and understand the type of problem they try to solve for their customers.
Amazon SageMaker helps you to take your machine learning models from concept to production in a fraction of time compared to traditional code-based approaches. Sagemaker is a managed service with a suite of tools required to build, train and deploy machine learning models. From labeling your data to optimizing the algorithms, SageMaker is a complete solution to create and deploy machine learning models.
SageMaker also has an autopilot option that will automatically process the data and run it through multiple algorithms. This helps developers to find the best algorithm for their model without manually training and testing their models. Sagemaker also comes with an integrated IDE and a sharable jupyter notebook that you can use to collaborate with your team.