caching-ml-dotnet

Caching in ML.NET to Quickly Retrain Machine Learning Models

You, I, and even John next door know that machine learning has made your machines “smarter” by predicting future outcomes, using the data fed to them. ML.NET is the de facto standard in .NET for machine learning, that allows you to train models upfront and make predictions accurately. Let’s suppose you have an ML.NET application…

Distributed Data Structures in NCache

Using Distributed Data Structures in NCache

Native data structures offer a conventional method of storing and retrieving data. Through their implementation, they provide concurrency to your standalone applications – which is great, except that they are only limited to the threads inside an application process. And with scalable applications running on more than one server, the need to share the state…