[Build 2019] Welcome to the world of Machine Learning with ML.NET 1.0

As i updated earlier, ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is also an extensible platform that powers Microsoft services like Windows Hello, Bing Ads, PowerPoint Design Ideas, and more. This session focuses on the release of ML.NET 1.0. If you want to learn the basics about…


Microsoft Build 2019 Conference: May 6-8 @ Seattle

Microsoft Build will take place May 6-8, 2019 at the Washington State Convention Center in Seattle. Here’s your chance to explore and learn about new and upcoming technologies, gain hands-on experience, and level up development skills. Microsoft Build brings developers and experts from the product teams together, so you have opportunities to ask questions, collaborate…


Machine Learning – Building a Pet Detector in 30 minutes using Tensorflow

Ever wondered what breed that dog or cat is? In this show, you’ll see us train, optimize and deploy a deep learning model using Azure Notebooks, Azure Machine Learning Service, and Visual Studio Code using Python. We use transfer learning to retrain a mobilenet model using Tensorflow to recognize dog and cat breeds using the…


Video: Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

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 sits with Rich to show us how we can use the ONNX runtime…

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Machine Learning Developer: Build, test, deploy, consume Azure Machine Learning Web Services

Machine Learning web services provide an interface between an application and a Machine Learning workflow scoring model. An external application can use Azure Machine Learning to communicate with a Machine Learning workflow scoring model in real time. How easy is that? A call to a Machine Learning web service returns prediction results to an external…


Getting started with ML.Net

ML.NET is an open source machine learning framework, created by Microsoft, for the .NET developer platform. ML.NET is cross platform and runs on macOS, Linux and Windows. In short, ML.NET is a machine learning framework built for .NET developers. Use your .NET and C# or F# skills to easily integrate custom machine learning into your…


Microsoft AI & ML developer – Video Moderation with Content Moderator

Content moderation is the process of monitoring for possible offensive, undesirable, and risky content. Content Moderator, a Cognitive Services product, combines machine-assisted content moderation APIs and human review tool for images, text, and videos into a complete content moderation solution. In this episode, Sanjeev & Seth will get an overview of Content Moderator and learn…

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