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: Technical Blog post: NEW LUIS in Containers: Using […]

Running AI on IoT microcontroller devices with ELL | Internet of Things Show

Posted on Posted in AI, IoT, Machine Learning

How about designing and deploying intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit? How interesting would that be? This is exactly what the open source Embedded Learning Library (ELL) project is about. The deployed models run locally, without requiring a network connection and without relying on […]

Learn How to Deploy Machine Learning Models! | AI Show

Posted on Posted in aft-ai, Machine Learning, Visual Studio Code

In this episode, we will provide step by step guidance on how to deploy machine learning models using the Visual Studio Code Tools for AI extension and Azure Machine Learning service. To learn more see Learn How to Deploy Machine Learning Models! | AI Show Source: MSDN Channel 9