Amazon Machine Learning vs Inferrd: 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; Inferrd: *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.

Amazon Machine Learning and Inferrd 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, 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.