Azure Machine Learning
Use an enterprise-grade service for the end-to-end machine learning lifecycle.
Overview
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps. You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.
Key Resources
News
Date | News |
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4/18/2024 |
Azure Machine Learning data collector provides real-time logging of input and output data from models that are deployed to managed online endpoints or Kubernetes online endpoints. This data can...
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4/17/2024 |
Three features now available in GA enable you to seamlessly log inference data to a central location, set up event-driven applications, processes, or workflows based on Azure Machine Learning...
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4/16/2024 |
Introduction
This article explores how the healthcare industry can utilize Generative AI, Large Language Model (LLM) Evaluation Metrics, and Machine Learning to streamline the patient referral...
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4/15/2024 |
With the term copilot we refer to a virtual assistant solution hosted in the Cloud, using an LLM as a chat engine, which is fed with business data and custom prompts and eventually integrated...
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3/29/2024 |
Microsoft recently organized an event dedicated to JavaScript developers, the Azure Developers JavaScript Day 2024. The event featured various technical and practical sessions, including a...
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3/27/2024 |
Invoke Azure Machine Learning models in real-time from SQL in Azure Database for PostgreSQL.
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3/26/2024 |
Azure regularly updates its platform to enhance the host infrastructure for virtual machines, focusing on reliability, performance, and security. The updates can range from operating system,...
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3/13/2024 |
Feature Engineering System
Feature engineering is the process of using domain knowledge to extract features (characteristics, properties, attributes) from raw data. The extracted features...
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2/23/2024 |
Dr. Wolfgang De Salvador - EMEA GBB HPC/AI Infrastructure Senior Specialist
Dr. Kai Neuffer - Principal Program Manager, Industry and Partner Sales - Energy Industry
Resources and references...
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2/1/2024 |
Azure Machine Learning model monitoring is now generally available.
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1/24/2024 |
Using Azure Load Testing to test Multi-Tenant services
This article describes how to use Azure Load Testing to test a multi-tenant service based on Azure App Service. It also describes how to run...
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1/24/2024 |
Load Testing Azure Event Hubs services with restricted public access
This article describes how to use Azure Load Testing to test a service based on Azure Event Hubs with a restricted public...
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1/16/2024 |
Introduction
GenAI applications are those that use large language models (LLMs) to generate natural language texts or perform natural language understanding tasks. LLMs are powerful tools...
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11/21/2023 |
Three big events – .NET Conf, Microsoft Ignite, and GitHub Universe – took place in November and we’re highlighting news, announcements, and sessions from those events. .NET 8 is now generally...
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11/15/2023 |
Three features now available in public preview enable you to choose which models/datasets are right for you without having to run any job, seamlessly read/write data from a Fabric datastore; and...
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11/15/2023 |
Five features now available in GA enable you to search thousands of OSS LLMs, provide a feature set specification and let the system handle the rest, and lower. compute management overhead and...
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11/13/2023 |
Microsoft Ignite starts November 15th. Register now to attend virtually.
Microsoft Ignite, the annual conference where developers can dive deep with the latest Microsoft technologies including...
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10/27/2023 |
Come visit Microsoft at Supercomputing 2023 (SC23) November 12 – 17 where we’ll deep dive into high-performance computing (HPC) and AI solutions during an exciting week of sessions, hands on...
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10/16/2023 |
Three features now available in GA enable you to streamline your network isolation experience, deploy your model locally prior to production, and automate the ML lifecycle without accruing extra...
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10/16/2023 |
Four features now available in Public Preview enable you to customize your compute instance experience by using curated or custom environments, collect all model dependencies in a single...
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