This R models tutorial will walk users through building a Random Forest model in Azure Machine Learning and R. We will use the bike sharing dataset for this tutorial. This …
A Directory of Python Machine Learning and Data Science Frameworks
View PostA Directory of Open Datasets
View PostHow to convert a frozen TensorFlow model to ONNX model ready for Windows ML
Here you will find an example of how to convert a model from a frozen tensorflow model by using WinMLTools. To get possible output names of a tensorflow model, you …
Converting Machine Learning models to ONNX for use in Windows ML
If you’re using Microsoft Cognitive Toolkit on Azure to build and run machine learning models, you should already have access to ONNX, because it’s built into every version after 2.3.1, …
Introducing ONNX for Windows
ONNX, the Open Neural Network Exchange is an open format for ML models, allowing you to interchange models between various ML frameworks and tools. With ONNX you can build and …
Introduction to Windows Machine Learning
Machine learning isn’t only for the cloud. With Windows ML, you can integrate trained machine learning models in your Windows apps. Overview Windows ML allows you to use trained machine …
AI Frameworks : Pros & Cons
View PostManaging Versions in Bot Framework
Versioning a live bot is a little trickier. You want to get users onto the new bot as quickly as possible, but you probably don’t want to interrupt the current flow of …
Managing Timeouts in Bot Framework
Let’s walk through a few strategies for managing timeouts and updating your bot. I’m not going to walk through every possibility, but rather show off a few representative solutions that …