Managing your Azure Machine Learning Costs
Tips for managing your Azure Machine Learning expenses
Let’s talk about some helpful ways to anticipate, manage, control, and improve your costs on Azure Machine Learning.
Machine Learning
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
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 Automated Machine Learning in Python to settle a classic question
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
Using Python code for automated machine learning in the Azure cloud
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.
Managing Compute Resources from the Azure ML Python SDK
Provisioning and deleting compute clusters & compute instances using the Azure ML Python SDK
How to create, retrieve, and delete compute instances and clusters using the Azure ML Python SDK