Month: November 2019

Azure Machine Learning compute instances (formerly Notebook VMs) is a hosted PaaS offering that supports the full lifecycle of inner-loop ML development–from model authoring, to model training and model deployment. AzureML Compute Instances are deeply integrated with AzureML workspaces and provide a first-class experience for model authoring through integrated notebooks using AzureML Python and R

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Thomas Maurer joins Scott Hanselman to show how you can connect your Windows Servers on-premises to Azure hybrid services like Azure Site Recovery to protect your virtual machines or Azure Update Management to keep your servers up to date. [0:01:28] – Demo Connecting Windows Server to Azure hybrid services Azure Site Recovery overview Update Management

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Learn how you can publish your SaaS solution and start generating revenue by making it available to potential buyers on Microsoft AppSource and Azure Marketplace. Ercenk Keresteci joins Scott Hanselman to cover the technical details of integrating a solution with Microsoft’s commercial marketplace, including how to use scripts for provisioning and de-provisioning a customer. [0:05:00]

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In this episode we will cover a quick overview of new batch inference capability that allows Azure Machine Learning users to get inferences on large scale datasets in a secure, scalable, performant and cost-effective way by fully leveraging the power of cloud.  [00:21] Context on Inference [02:00] Handling High Volume Workloads [03:05] ParallelRunStep Intro [03:53]

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Azure Open Datasets is platform to host data from the open domain such as weather, socioeconomic statistics, machine learning samples, open images, GitHub activity data, etc. on Azure. Learn more about why are we hosting open data on Azure, how to explore the datasets and how to use them in Azure services such as Azure

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Watch this IoT Show to learn why Azure Cosmos DB (aka.ms/CosmosDB-IoT-Lab), Microsoft’s globally distributed multi-model database service, is frequently used in IoT scenarios. (Hint: Cosmos DB can ingest semi-structured data at extremely high rates and serve indexed queries back out with extremely low latency.)  Andrew Liu, Program Manager, Cosmos DB team, steps through two popular

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Christina Lee joins Scott Hanselman to show what’s new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. [0:02:00] – Demo Azure Cognitive Services overview Container

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Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor.  Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation.  Customers who like the extensive metrics which Prometheus provides on Kubernetes also like how easy it is to use Azure

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Azure Machine Learning now offers two editions that are tailored for your machine learning needs, Enterprise and Basic, making it easy for developers and data scientists to accelerate the end to end machine learning lifecycle. The Basic edition is a one stop destination for open source developers and data scientists who are comfortable with a

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Do you have large data sets that seem too big to map? (aka.ms/IoTShow/MapsClustering) Watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets. Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering

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