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

Algorithms.io

47
74
+ 1
0
Azure Machine Learning

226
337
+ 1
0
Add tool

Algorithms.io vs Azure Machine Learning: What are the differences?

Algorithms.io: Machine learning as a service for streaming data from connected devices. Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables; Azure Machine Learning: 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.

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

Some of the features offered by Algorithms.io are:

  • Classification & Anomaly Detection- With our machine learning algorithms and your time series data, we can get up to 99% prediction accuracy on the state of the sensor. Algorithms include neural network, random forest, support vector machine and others.
  • Streaming Data Infrastructure- We provide the infrastructure for your streaming data as a service including a highly scalable time-series database and analytics capabilities.
  • Analytics Across All Your Devices- Capture and aggregate data from all of your devices to perform analytics across the entire dataset.

On the other hand, Azure Machine Learning provides the following key features:

  • Designed for new and experienced users
  • Proven algorithms from MS Research, Xbox and Bing
  • First class support for the open source language R
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More

What is Algorithms.io?

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

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!

Jobs that mention Algorithms.io and Azure Machine Learning as a desired skillset
What companies use Algorithms.io?
What companies use Azure Machine Learning?
See which teams inside your own company are using Algorithms.io or Azure Machine Learning.
Sign up for StackShare EnterpriseLearn More

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

What tools integrate with Algorithms.io?
What tools integrate with Azure Machine Learning?
    No integrations found
    What are some alternatives to Algorithms.io and Azure Machine Learning?
    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.
    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.
    Amazon Personalize
    Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications.
    See all alternatives