Data Science with .NET and Polyglot Notebooks
Data Science with .NET and Polyglot Notebooks This book introduces a unique and innovative approach to data science using the .NET ecosystem. It guides readers through building data science workflows using Polyglot Notebooks—interactive notebooks that support multiple languages (such as C#, F#, Python, and SQL) in the same environment. The book emphasizes: ML.NET : Building and training machine learning models in .NET. OpenAI integration : Using language models for advanced text processing and AI. Semantic Kernel : A tool to build intelligent agents combining AI and code. Polyglot Notebooks : Leveraging notebooks like Jupyter but in a .NET-friendly environment. .NET Interactive : Bringing interactive coding and data visualization directly into notebooks. This book is perfect for C# and .NET developers looking to enter the field of data science or augment their existing skill set with AI and ML capabilities, all while staying in the familiar Microsoft ecosystem. C...