AI News, What’s New in Azure Machine Learning?
- On Sunday, June 3, 2018
- By Read More
What’s New in Azure Machine Learning?
Matt Winkler delivered a talk at Microsoft Build 2018 explaining what is new in Azure Machine Learning.
You can deploy AI everywhere, to the cloud, on premise, in a remote facility with no internet connectivity, or to edge devices such as tractors, sensors, or cameras.
The new improvements come in several areas: making development easier, single container deployment to make the dev/test loop faster, using the SDK from the Azure Notebook for control, as well as helping people get started solving a particular problem.
To solve these problems, Microsoft has put several items in preview today: Project Brainware hardware accelerated models, Azure ML packages, for vision, text, and forecasting, the ONNX model gallery, an updated SDK to improve Azure notebooks, hyperparameter turning services, the addition of ACI/AKS batch AI compute targets, and IOT deployment enhancements.
This can give you real time AI at cloud scale with industry leading performance at low cost.
The common interchange format ONNX allows you to use the models in various places such as inside an application, or to deploy it to services.
These improvements make it easier to provision compute targets, run training jobs local on the notebook, or a large scale cluster.
- On Wednesday, January 16, 2019
Building Custom AI Models on Azure using TensorFlow and Keras : Build 2018
Learn how to simplify your Machine Learning workflow by using the experimentation, model management, and deployment services from AzureML.
Operationalize your models with Azure Machine Learning - BRK2290
This is the introduction to the new Azure ML features.
First look at What’s New in Azure Machine Learning
Take in the huge set of capabilities announced at Ignite for the next generation of the Azure Machine Learning platform. Build and deploy ML applications in the ...
Working with models for machine learning and Azure Batch AI - BRK4034
Learn how to build deep learning models with the Azure Batch AI training service.
What's new with Azure Machine Learning : Build 2018
In September, we launched a huge set of updates for Azure Machine Learning to let you manage the end to end lifecycle of Machine Learning Development.
Author core machine learning models with Azure Machine Learning | T109
Learn how to build your own custom machine learning models, and then train and experiment by using Azure Machine Learning. We show you how to deploy ...
Deep Learning on Azure with GPUs
Learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters.
Azure Machine Learning Tutorial
Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data.
Azure Machine Learning Demo
10 Minutes demonstration of how to use Machine Learning to train an algorithm to predict a person's income and publish it as a web service.
Azure Machine Learning: Getting Started
Gain an overview of new features and capabilities in the Azure Machine Learning Workbench application. For more info click here: ...