Azure Machine Learning

Service Profile Documentation Resources Videos

Documentation

Homepage

Service Description

Azure Machine Learning can be used for any kind of machine learning, from classical ml to deep learning, supervised, and unsupervised learning. Whether you prefer to write Python or R code or zero-code/low-code options such as the designer, you can build, train, and track highly accurate machine learning and deep-learning models in an Azure Machine Learning Workspace.

Pricing SLAs Limits Learning

Getting Started

  1. Cloud-Based Machine Learning for the Developer
    5/4/2015, Video, 1:13:33
    Machine Learning is a subfield of computer science concerned with systems that learn from data. In this session, learn how a Microsoft Azure Machine Learning solution comes to...
  2. Introducing Azure Machine Learning
    6/26/2016, Whitepaper
    A guide for technical professionals.

Azure Machine Learning News

MLOps—the path to building a competitive edge
1/21/2020, Microsoft Azure Blog
Microsoft Azure Machine Learning (ML) is addressing complex business challenges that were previously thought unsolvable and is having a transformative impact across every vertical.
Azure Machine Learning Datasets
1/14/2020, [0:10:36]
Azure machine learning datasets is our solution to manage your data for machine learning. With datasets, you can directly access data from multiple sources without incurring extra storage cost;...
Unifying AI-to-BI with Azure Synapse Analytics | BRK3330
1/14/2020, YouTube: Microsoft Ignite [0:46:05]
To truly unlock the value of your data, you need a data pipeline that works with the latest in machine learning and business intelligence tools over all your data.  By combining the ingestion,...
Data handling for the machine learning process using Azure Machine Learning datasets | THR3166
1/14/2020, YouTube: Microsoft Ignite [0:15:50]
Azure Machine Learning has newly introduced datasets, a construct that makes it easy to access and apply data from various Azure storage services and make them available for ML experiments....
Getting your data ready to train computer vision models using Azure Machine Learning | BRK3303
1/14/2020, YouTube: Microsoft Ignite [0:46:11]
In this session, we take a detailed look at how you can use Azure Machine Learning data management and processing capabilities to prepare your data and train computer vision models. See how Azure...
Managing your ML lifecycle with Azure Databricks and Azure Machine Learning | BRK3245
1/14/2020, YouTube: Microsoft Ignite [0:41:19]
Machine learning development has new complexities beyond software development. There are a myriad of tools and frameworks which make it hard to track experiments, reproduce results, and deploy...
Azure Databricks and Azure Machine Learning better together | THR2186
1/14/2020, YouTube: Microsoft Ignite [0:17:30]
In this theater session, we demonstrate the new integrations between Azure Databricks and Azure Machine Learning to realize comprehensive E2E machine learning scenarios for our customers.
AI within reach: Zero code solutions at enterprise scale with Azure Machine Learning | THR2129
1/14/2020, YouTube: Microsoft Ignite [0:21:58]
Artificial Intelligence is right here, right now—and we’re making machine learning possible for all skill levels. The visual designer capability in Azure Machine Learning service is a powerful...
Taking models to the next level with Azure Machine Learning best practices | AIML40
1/14/2020, YouTube: Microsoft Ignite [0:47:05]
Tailwind Traders’ data science team uses natural language processing (NLP), and recently discovered how to fine tune and build a baseline models with Automated ML. In this session, learn what...
Start building machine learning models faster than you think | AIML30
1/14/2020, YouTube: Microsoft Ignite [0:40:22]
Tailwind Traders uses custom machine learning models to fix their inventory issues – without changing their software development life cycle! How? Azure Machine Learning Visual Interface. In...
Machine learning simplified: From ideation to deployment with Azure Machine Learning | BRK1009
1/14/2020, YouTube: Microsoft Ignite [0:55:02]
Artificial intelligence is right here, right now—and making AI real for businesses is our goal. Azure Machine Learning offers powerful tools for all levels of data science, including a powerful,...
Creating a model factory with automated machine learning | BRK2020
1/14/2020, YouTube: Microsoft Ignite [0:46:29]
Artificial intelligence (AI) has become the hottest topic in tech. Executives, analysts, engineers, and developers all want to leverage the power of AI to gain better insights and make better...
Understanding enterprise readiness for machine learning solutions | BRK2017
1/14/2020, YouTube: Microsoft Ignite [0:41:31]
Data privacy and security are top of mind for almost every enterprise in the world. But creating machine learning in a manner that is secure and privacy-aware presents specific challenges. Learn...
Top ten things to know about Azure Machine Learning - technical edition | BRK3033
1/14/2020, YouTube: Microsoft Ignite [0:44:08]
Creating machine learning models that scale to a global business is complex. There are challenges and many complications at every step. Learn best practices, tips, and tricks from a Microsoft...
Lessons learned from implementing real-world machine learning solutions: Common | BRK1007
1/14/2020, YouTube: Microsoft Ignite [0:38:39]
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights-driven decisions. Artificial intelligence (AI) and machine...
Azure Machine Learning and open source: Designed for each other | BRK2016
1/14/2020, YouTube: Microsoft Ignite [0:44:29]
Azure Machine Learning is committed to being the best place for open source machine learning. From LIME to ONNX, to Kubeflow and ML FLOW, Azure Machine Learning provides choice and flexibility...
Data Drift Monitoring for Azure ML Datasets
1/7/2020, [0:11:39]
In this episode, you'll see how drift in data can be detected using machine learning in the Azure Machine Learning service. Re-Visit Your Favorite Part: [00:21] Introductions[00:45] Quick intro...
Unboxing the Vision AI DevKit
1/6/2020, YouTube: Microsoft Developer [0:24:38]
Mahesh Yadav, Program Manager in the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (https://aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent...
Unboxing the Vision AI DevKit
1/6/2020, [0:24:37]
Mahesh Yadav, Program Manager in the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent edge....
Save costs training on AMLCompute
12/17/2019, YouTube: Microsoft Developer [0:15:52]
With ever changing data and customer signals continuous training and retraining can incur higher costs, especially on GPUs for deep learning models. In AzureML, we have heard this concern loud...