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Machine Learning Operations (MLOPs) with Azure Machine Learning

Modeling Azure Microsoft MLOpsposted by ODSC Community July 10, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team. The data... Read more

Announcing Microsoft Azure’s New Tutorial on Deep Learning and NLP

Featured Post NLP/Text Analytics Azure Microsoftposted by ODSC Team July 7, 2023

Here at ODSC, we couldn’t be more excited to announce Microsoft Azure’s tutorial series on Deep Learning and NLP, now available for free on Ai+. This course series was created by a team of experts from the Microsoft community, who have brought their knowledge and experience... Read more

Debug Object Detection Models with the Responsible AI Dashboard

Modeling Azure Microsoft Responsible AIposted by ODSC Community June 28, 2023

At Microsoft Build 2023, we announced support for text and image data in the Azure Machine Learning responsible AI dashboard in preview. This blog will focus on the dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models. We’ll dive into a text-based scenario... Read more

Using Azure ML to Train a Serengeti Data Model for Animal Identification

Machine Learning Modeling Azure Microsoftposted by ODSC Community March 29, 2023

Article on Azure ML by Bethany Jepchumba and Josh Ndemenge of Microsoft In this article, I will cover how you can train a model using Notebooks in Azure Machine Learning Studio. To get the data, you will need to follow the instructions in the article: Create... Read more

Distributed training with PyTorch and Azure ML

Machine Learning Modeling Azure Microsoft PyTorchposted by Bea Stollnitz February 6, 2023

By Beatriz Stollnitz, Principal Cloud Advocate at Microsoft Suppose you have a very large PyTorch model, and you’ve already tried many common tricks to speed up training: you optimized your code, you moved training to the cloud and selected a fast GPU VM, you installed software packages that... Read more

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML

Machine Learning Modeling Azure Microsoft PyTorchposted by Bea Stollnitz January 30, 2023

By Beatriz Stollnitz, Principal Cloud Advocate at Microsoft If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you! The Azure ML team has recently released the public preview of a new curated environment that... Read more

Training Your PyTorch Model Using Components and Pipelines in Azure ML

Machine Learning Modeling Azure Microsoft PyTorchposted by Bea Stollnitz January 23, 2023

By Beatriz Stollnitz, Principal Cloud Advocate at Microsoft In this post, we’ll explore how you can take your PyTorch model training to the next level, using Azure ML. In particular, we’ll see how you can split your training code into multiple steps that can be easily... Read more

Training and Deploying Your PyTorch Model in the Cloud with Azure ML

Machine Learning Modeling Azure Microsoft PyTorchposted by Bea Stollnitz January 16, 2023

By Beatriz Stollnitz, Principal Cloud Advocate at Microsoft You’ve been training your PyTorch models on your machine, and getting by just fine. Why would you want to train and deploy them in the cloud? Training in the cloud will allow you to handle larger ML models... Read more

Enabling Resilient Machine Learning Systems

Machine Learning Modeling Azure Microsoftposted by ODSC Community December 9, 2022

Article by Francesca Lazzeri and Bea Stollnitz of Microsoft. Resilient machine learning systems are fast, accurate, and flexible. They assist you in your day-to-day tasks for maximum efficiency, they leverage the latest software and hardware for the fastest performance, and they guide you through complex tasks... Read more

Evaluate ML Models with Azure Machine Learning’s Responsible AI Insights

Modeling Azure Microsoftposted by Minsoo Thigpen November 14, 2022

In December 2021, we introduced the Responsible AI dashboard, a comprehensive experience bringing together several mature Responsible AI tools in the areas of data explorer (to proactively identify whether there is sufficient data representation for the variety of data subgroups), fairness assessment (to assess and identify... Read more