Compileer Machine Learning-modellen in het framework van je keuze Azure biedt ondersteuning voor alle populaire machine learning-frameworks. Of je nu modellen ontwikkelt in Deep Learning-frameworks zoals PyTorch of TensorFlow, van de voordelen profiteert die de geautomatiseerde machine learning-...
Bekijk best practices en aanbevelingen van het aannemen van machine learning-bewerkingen in de onderneming met Azure Machine Learning.
Machine Learning - ML.NET: The Machine Learning Framework for .NET Developers Machine Learning - Accelerate AI Solutions with Automated Machine Learning Azure - Deploy Your Code The Right Way with Azure Pipelines SQL - Introducing Azure SQL Database Hyperscale ...
ML.NET: The Machine Learning Framework for .NET Developers By James McCaffrey The ML.NET library is still in preview. All information is subject to change. The ML.NET library is a new open source collection of machine learning (ML) code that can be used to create powerful prediction systems...
Improving collaboration and productivity in Azure Machine Learning MAY 28, 2021 Cloud Adoption Framework – Innovate with AI best practices MAY 03, 2021 Solution template for deploying Azure ML Models to AKS Clusters via Azure DevOps FEBRUARY 18, 2021 Responsible machine learning with Error...
In Build 2018 Microsoft interduce the preview of ML.NET (Machine Learning .NET) which is a cross platform, open source machine learning framework. Yes, now its easy to develop our own Machine Learning application or develop costume module using Machine Learning framework.ML....
When you want to train a model, you can select one of the algorithms (for example linear regression) for your task (for example regression) that are available in the framework of your choice (for example scikit-learn). The following code shows an example of training a regression model:...
The University of South Wales Sydney has harnessed the power of Microsoft Bot Framework to create a more engaging learning community. Jet.com servers customers faster, optimizing customer care while reducing call handling time.Components of a conversational AI experience Language A machine learning-based...
Het trainen van een machine learning-model omvat het aanpassen van een machine learning-algoritme aan uw trainingsgegevens om een acceptabele nauwkeurige functie te bepalen die kan worden toegepast op de functies en de bijbehorende labels te berekenen. Dit lijkt misschien een conceptueel eenvo...
A Machine Learning Framework for Programming by Example Aditya Krishna Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Tauman Kalai Proceedings of the 30th International Conference on Machine Learning (ICML), 2013|June 2013 Published by Int'l Conf. Machine Learning ...