Machine Learning Integration
In this chapter, we will embark on an exploration of integrating machine learning (ML) seamlessly into software development workflows using Visual Studio. As we continue to advance in the digital age, the integration of ML capabilities into applications has become increasingly pivotal, enabling intelligent decision-making and automation within our software systems.
Our journey begins with an introduction to ML, demystifying its core concepts and applications. Next, we will dive into the practical aspects by harnessing the power of ML.NET and Model Builder within Visual Studio. Through hands-on examples and guided tutorials, we’ll demonstrate how to create and train ML models directly within the familiar Visual Studio environment.
As we progress, the focus shifts toward deployment strategies for ML models. We’ll explore how to deploy a trained model within an ASP.NET Core web API, enabling real-time inference and integration with web...
