Algorithms.io vs Amazon SageMaker vs Azure Machine Learning

Need advice about which tool to choose?Ask the StackShare community!

Algorithms.io

47
74
+ 1
0
Amazon SageMaker

193
216
+ 1
0
Azure Machine Learning

196
283
+ 1
0
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More

Sign up to add or upvote prosMake informed product decisions

Sign up to add or upvote consMake informed product decisions

What is Algorithms.io?

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables

What is Amazon SageMaker?

A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

What is Azure Machine Learning?

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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Algorithms.io?
What companies use Amazon SageMaker?
What companies use Azure Machine Learning?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Algorithms.io?
What tools integrate with Amazon SageMaker?
What tools integrate with Azure Machine Learning?
    No integrations found

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Algorithms.io, Amazon SageMaker, and Azure Machine Learning?
    Amazon Machine Learning
    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.
    Amazon Elastic Inference
    Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
    Google AI Platform
    Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
    NanoNets
    Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
    Amazon Personalize
    Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications.
    See all alternatives