Featured Blog:

Azure Machine Learning CLI v2 and Python SDK v2
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Featured Video: The Big Wave of AI at Scale


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Featured Blog:

AIOps with Azure Metrics Advisor


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ML Essentials

Watch the ML Essentials series to get familiar with machine learning products and services from Azure and see how to bring these components together to build your own machine learning models.

Lesson 1: Model Deployment and Inferencing

Lesson 2: MLOps

Lesson 3: Hybrid and Multi-Cloud Machine Learning

Lesson 4: Openness and Interoperability of Machine Learning Environments 

Lesson 5: Training ML Models at Scale

Lesson 6: Securing your Machine Learning Environments 

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Featured Blogger of the Month & More Content

Featured Speakers of the Month:

Tony Xing

Qiyang Li


About the authors 

Tony Xing, Principal PM Manager, Azure AI at Microsoft is leading the creation of decision intelligence
products including Azure Metrics Advisor and Anomaly Detector. These products help organizations to protect their growth engine by extracting intelligence from their operation data and improve business efficiency. Tony’s career span over 20 years in data and AI. Prior to his current role, Tony held various PM and engineering roles within the company across Office, Skype, Bing… Prior to joining Microsoft, Tony held Engineering and Product Management positions in various companies, focusing on mobile and large-scale data processing and analytics. 
Qiyang is an AI Product Manager in Microsoft with 6+ years of experience in big data processing,
analytics as well as data-driven intelligent service powered by machine learning technologies. Qiyang is a real fan of digital transformation and passionate about working with customers to reinvent their business using cutting edge AI technologies. Out of a team who deals with big data, Qiyang gets a strong sense of how important the data is, and the magic can be achieved through AI.

Optimizing PyTorch Performance: Batch Size with Pytorch Profiler


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Accelerate your NLP pipelines using Hugging Face Transformers and ONNX Runtime

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Announcing ONNX Runtime Now Available for NodeJS

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On-Demand Webinars


On-Demand Sessions

Azure Blogs from the ODSC Community

Your Guide For Analyzing Real Time Data with Streaming Analytics from SAS® Viya® on Azure

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Hackathon Shows Banking Innovation Potential of Cloud-Deployed Analytics

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Learning Journey

Learn more about machine learning on Azure and participate in hands-on tutorials with this 30-day learning journey. At the end of this learning journey, you’ll be prepared to take the Azure Data Scientist Associate Certification

Azure Machine Learning

The Azure Machine Learning service empowers data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.

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What do I Get?

With your Azure free account, you get all of this – and you won’t be charged until you choose to upgrade.

12 months

of popular free services

$200 credit

to explore Azure for 30 days

Always free

25+ services

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