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 […]
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 […]
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 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 […]
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 […]
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 […]
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] […]
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 […]
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 […]
The Azure Machine Learning studio is a new immersive web experience for managing the end-to-end lifecycle. The new web experience brings all of the data science capabilities for data scientists and engineers, across diverse skill levels from no code authoring, to code-first experiences, and their ML assets together in a single web pane to streamline […]