Azure Machine Learning vs Inferrd: What are the differences?

Developers describe Azure Machine Learning as "A fully-managed cloud service for predictive analytics". Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning. On the other hand, Inferrd is detailed as "*Deploy ML Models with a Simple Drag and Drop *". It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

Azure Machine Learning and Inferrd can be primarily classified as "Machine Learning as a Service" tools.

Some of the features offered by Azure Machine Learning are:

• Designed for new and experienced users
• Proven algorithms from MS Research, Xbox and Bing
• First class support for the open source language R

On the other hand, Inferrd provides the following key features:

• Machine Learning practioners don't need to wait for engineering to deploy their models anymore
• No need to invest in expensive infrastructure and tooling. Inferrd starts at $14, batteries included
• Built with security in mind. Your models are protected using state-of-the-art encryption at rest.