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Azure Machine Learning
ByAzure Machine LearningAzure Machine Learning

Azure Machine Learning

#2in AI Infrastructure
Discussions0
Followers373
OverviewDiscussions

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.

Azure Machine Learning is a tool in the AI Infrastructure category of a tech stack.

Key Features

Designed for new and experienced usersProven algorithms from MS Research, Xbox and BingFirst class support for the open source language RSeamless connection to HDInsight for big data solutionsDeploy models to production in minutesPay only for what you use. No hardware or software to buy

Azure Machine Learning Pros & Cons

Pros of Azure Machine Learning

No pros listed yet.

Cons of Azure Machine Learning

No cons listed yet.

Azure Machine Learning Alternatives & Comparisons

What are some alternatives to Azure Machine Learning?

Amazon SageMaker

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

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.

Algorithms.io

Algorithms.io

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

Replicate

Replicate

It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.

Amazon Elastic Inference

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

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.

Azure Machine Learning Integrations

Azure Cosmos DB, Azure IoT Hub, Microsoft Azure, BLOOM, Mistral 7B are some of the popular tools that integrate with Azure Machine Learning. Here's a list of all 5 tools that integrate with Azure Machine Learning.

Azure Cosmos DB
Azure Cosmos DB
Azure IoT Hub
Azure IoT Hub
Microsoft Azure
Microsoft Azure
BLOOM
BLOOM
Mistral 7B
Mistral 7B

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