Develop Apps with Machine Learning in .NET

What you'll learn

Get started with ML.NET so you can create machine learning models in C# to run impressive predictions and use them in your .NET applications! Create innovation in your apps with scenarios such as sentiment analysis, anomaly detection, text classification, object detection and many more! ML.NET is an open source and cross-platform Microsoft framework. No matter what OS you use (Windows, Linux, or Mac), we got you covered! ML.NET 1.0 was released on May 2019. Since then, we’ve been releasing a minor version on a monthly cadence. In this session, Cesar De la Torre Llorente will introduce what is ML.NET and Model Builder for Visual Studio and their main scenarios so any .NET developer can get started. Then, we’ll focus on the new features added since v1.0 such as new improvements in Model Builder for Visual Studio, new ML trainers/algorithms added, new native relational database loader for training ML models against databases instead of dataset files, and improvements in Deep Learning with ML.NET.