Machine Learning

Machine Learning in .NET with F# and ML.NET 2.0

Machine Learning in .NET with F# and ML.NET 2.0

Using F#, ML.NET, and Polyglot Notebooks to Train, Save, Load, and Evaluate Regression Models

By
Matt Eland
on
Let’s build a simple machine learning training pipeline using ML.NET 2.0 and Polyglot Notebooks to explore machine learning in .NET with F#
Using AutoML, Python, and Azure to Classify Die Hard

Using AutoML, Python, and Azure to Classify Die Hard

Using Automated Machine Learning in Python to settle a classic question

By
Matt Eland
on
Using a repeatable code-first approach to automated machine learning on Azure to classify Die Hard as either a Christmas movie or a non-Christmas movie.
Introducing Auto ML with Python and the Azure ML SDK

Introducing Auto ML with Python and the Azure ML SDK

Using Python code for automated machine learning in the Azure cloud

By
Matt Eland
on
Let’s explore what a sample usage of the Azure ML Python SDK looks like and how you can use Python and Azure Machine Learning Studio to track and version datasets and machine learning models, discover new models that perform well with your data, evaluate those models, and deploy them as a web service - all without having to leave your IDE.
Azure Machine Learning Compute Resources

Azure Machine Learning Compute Resources

Making sense of compute instances vs compute clusters and more in Azure Machine Learning

By
Matt Eland
on
Let’s explore the capabilities of compute instances, compute clusters, inference clusters, attached computes, local compute, Azure Container Instances, and Azure Kubernetes Service.