Machine Learning Interpretability Toolkit | AI Show

Posted on Posted in AI, Artificial Intelligence, Machine Learning

Understanding what your AI models are doing is super important both from a functional as well as ethical aspects. In this episode we will discuss what it means to develop AI in a transparent way. Mehrnoosh introduces an awesome interpretability toolkit which enables you to use different state-of-the-art interpretability methods to explain your models decisions. By using […]

Training Machine Learning models with ML.NET | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Coding, Data, Developer Tools, devtools, Machine Learning

ML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications. In this episode, Bri Achtman joins Rich to show off some really interesting scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models! […]

Train with Azure ML and deploy everywhere with ONNX Runtime | Internet of Things Show

Posted on Posted in aft, aft-iot, Demo, IoT, Machine Learning

You can now train machine learning models with Azure ML once and deploy them in the Cloud (AKS/ACI) and on the edge (Azure IoT Edge) seamlessly thanks to ONNX Runtime inference engine.  In this new episode of the IoT Show we introduce the ONNX Runtime, the Microsoft built inference engine for ONNX models – its cross platform, cross training frameworks […]

Machine Learning with ML.NET 1.0 from Build 2019 | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Build, Coding, Data, Machine Learning

ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications. Live from Build 2019, we are joined by Cesar De La Torre Llorente who gives us a great overview of what the goals of ML.NET are, and shares with us some of the highlights […]

Time Series Forecasting with Azure Machine Learning | AI Show

Posted on Posted in Azure Machine Learning, Machine Learning

This video shows how to build, train and deploy a time series forecasting solution with Azure Machine Learning. You are guided through every step of the modeling process including: Set up your development environment Access and examine the data Train using an Automated Machine Learning Explore the results Register and access your time series forecasting […]

Hardware Acceleration for AI at the Edge | Internet of Things Show

Posted on Posted in aft, aft-iot, Demo, IoT, iotedge, Machine Learning, Tech Talk

One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and […]

Building Applications from Scratch with Azure and Cognitive Services | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Azure Platform, Coding, Machine Learning

In this episode, Christos Matskas (@ChristosMatskas) joins us to share the story of an interesting application he built using the Azure SDKs for .NET and Cognitive Services. We not only get an overview of creating custom vision models, but also a demo of the docker containers for cognitive services. Christos also shares how he was […]

Learning Machine Learning with .NET, PyTorch and the ONNX Runtime | On .NET

Posted on Posted in aft-net, AI, Coding, Machine Learning, Python

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments In this episode, Seth Juarez (@sethjuarez) sits with Rich to show us how we can use the ONNX runtime […]

Using Cognitive Services in Containers | AI Show

Posted on Posted in Artificial Intelligence, Machine Learning

In this video we will talk about our new capability that allows developers to deploy some of our cognitive services as containers! Get ready for the intelligent edge! Process data in the cloud or on device at the edge, the choice is yours! Announcement: https://azure.microsoft.com/en-us/blog/bringing-ai-to-the-edge/ Technical Blog post: https://azure.microsoft.com/en-us/blog/getting-started-with-azure-cognitive-services-in-containers/ NEW LUIS in Containers: https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-container-howto Using […]