Have you ever pondered your fate on the ill-fated Titanic? Simon Painter’s insightful talk at NDC Copenhagen demonstrates how to leverage ML.NET and the broader .NET ecosystem to construct a Titanic survivor predictor directly within Visual Studio using C#. He effectively illustrates that compelling machine learning outcomes are achievable without resorting to Python, requiring only a few clicks to prepare your codebase for deployment.

ML.NET, Microsoft’s remarkably user-friendly SDK, empowers developers to seamlessly integrate machine learning capabilities into their applications. This engaging demonstration highlights the speed and simplicity with which you can train, evaluate, and deploy a robust model, navigating the complexities of data without encountering unforeseen challenges. It’s a testament to the power of .NET for modern AI solutions.

For a deeper dive, you can watch the full presentation on YouTube.