Cognitive Services | AI Show

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Explore the Metropolitan Museum’s collection using Cognitive Services on Spark.  [00:39] – Description of the Met’s Open Access initiative [01:49] – Demo: enrich the Met’s dataset with intelligent annotations using Computer Vision service on Spark [05:00] – Demo: push intelligent annotations to Azure Cognitive Search [05:17] – Demo: use Art Explorer to explore the Met’s […]

Azure Cognitive Search | AI Show

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Show how organizations do more with their data using the and AI capabilities of Azure Cognitive Search. I’ll show how they can take data from databases and files and easily mine it for additional knowledge, allowing them to better explore and understand their information.   Additional information: Docs The AI Show’s Favorite links: Don’t miss new […]

Democratize AI with Azure Machine Learning designer | AI Show

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Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression and text analytics families. Each is designed to address a different type of machine learning problem. In this demo, you will learn how to use Azure Machine Learning designer in a few simple steps and create an […]

Data Labeling in Azure ML Studio | AI Show

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This video talks about the new ML assisted data labeling capability in Azure Machine Learning Studio. You can create a data labeling project and either label the data yourself, or take help of other domain experts to create labels for you. Multiple labelers can use browser based labeling tools and work in parallel. As human […]

Azure Machine Learning Compute Instance | AI Show

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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 […]

Automated ML Forecasting and DNN | AI Show

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Learn about the new features Automated Machine Learning (Automated ML) is releasing, from enhanced time-series forecasting capabilities and no-code user interface, to DNN support for text and forecasting scenarios. [00:30] What is Automated ML? [00:50] What is time series forecasting? [01:30] Forecasting capabilities. [02:50] Requirements [04:20] Demo Learn More:  Learn More The new studio Notebook […]

Deep Learning vs. Machine Learning | AI Show

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This episode helps you compare deep learning vs. machine learning. You’ll learn how the two concepts compare and how they fit into the broader category of artificial intelligence. During this demo we will also describe how deep learning can be applied to real-world scenarios such as fraud detection, voice and facial recognition, sentiment analytics, and […]

Batch Inference using Azure Machine Learning | AI Show

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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] […]