Summary
In this chapter, we explored the integration of ML capabilities into software development workflows using Visual Studio, equipping developers with essential skills to leverage intelligent decision-making within applications.
We began by introducing the fundamental concepts of ML, providing an overview to understand its applications and significance in modern software development. Next, we delved into practical implementation by demonstrating how to create and train ML models using ML.NET and Model Builder within Visual Studio. Moving forward, we explored deployment strategies for trained models, showcasing how to deploy ML models within an ASP.NET Core web API for real-time inference and integration with web applications. Additionally, we discussed deploying models within Azure Functions to leverage serverless computing for scalable and efficient deployment scenarios.
In this chapter, you gained hands-on experience in building, training, and deploying ML models using...
