2+ years of industry experience with building, debugging and optimizing large, high performance ML training jobs. Preferred Qualifications: Masters or Doctorate in Computer Science, Machine Learning, Statistics or equivalent technical field. ...
Find jobs Experience Work site Profession Discipline Role type Employment type Job you selected Research Intern - Machine Learning 1 month ago Redmond, Washington, United States Up to 50% work from home Research Internships at Microsoft provide a dynamic environment for research ...
对于此处提供的信息,Microsoft 不作任何明示或暗示的担保。 获取MachineLearningWorkspace 中 MachineLearningJobResources 的集合。 C# 复制 public virtual Azure.ResourceManager.MachineLearning.MachineLearningJobCollection GetMachineLearningJobs (); 返回 MachineLearningJobCollec...
MachineLearningWorkspaceResource Azure.ResourceManager.MachineLearning.Models Maintenance Managed Network Fabric Managed Service Identity Managed Services Maps Marketplace Marketplace Ordering Media Metrics Advisor Mixed Reality Mobile Network Mobile Services ...
{ "type": "Microsoft.MachineLearningServices/workspaces/jobs", "apiVersion": "2024-10-01", "name": "string", "properties": { "componentId": "string", "computeId": "string", "description": "string", "displayName": "string", "experimentName": "string", "identity": { "identityType...
The first step to operationalize a machine learning model is to run it as an Azure Machine Learning job. You can run individual scripts ascommandjobs, or groups of scripts as apipelinejob. The data science team gives you their work in a Jupyter notebook in which data is loaded,...
Find jobs Experience Work site Profession Discipline Role type Employment type This job description couldn't load Refresh the page or try again later. Reload page Feedback English | FR - Canada Support Accessibility Microsoft Data Privacy Notice Legal policies Contractor roles Your Priva...
Training machine learning models at scale Understand how to utilize the right compute on Azure to scale your training jobs. Model deployment and inferencing Learn about the various deployment options and optimizations for large-scale model inferencing. MLOps explained Learn about the importance of...
He is currently working on enriching the automated ML capabilities with deep learning. Thanks to the following Microsoft technical experts for reviewing this article: Sujatha Sagiraju, Bharat Sandhu Bharat Sandhu is the Director of product marketing for Azure AI & Advanced Analytics. He is focused ...
Sujatha Sagiraju is a Group Program Manager in the Azure Cloud & AI group and is a Microsoft veteran. Her expertise is in building large scale distributed systems. Her latest passion is accelerating and democratizing AI via Automated Machine Learning. ...