Amazon Machine Learning vs Gradient°

Amazon Machine Learning vs Gradient°: What are the differences?

Amazon Machine Learning: Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure; Gradient°: Deep learning platform built for developers. Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.

Amazon Machine Learning and Gradient° belong to "Machine Learning as a Service" category of the tech stack.

Some of the features offered by Amazon Machine Learning are:

• Easily Create Machine Learning Models
• From Models to Predictions in Seconds
• Scalable, High Performance Prediction Generation Service

On the other hand, Gradient° provides the following key features:

• 1-click Jupyter notebooks
• a powerful job runner
• Python module to run any code on a fully managed GPU cluster in the cloud