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.


Click here for Download

Unlock the Power of AI and Data Science with .NET 🚀

Dive into the future of intelligent programming with "Data Science with .NET and Polyglot Notebooks" by Matt Eland. This comprehensive guide is a must-read for developers eager to explore data science using familiar .NET tools. Learn how to build ML models with ML.NET, create smart AI-powered applications using OpenAI and Semantic Kernel, and work seamlessly across multiple languages in Polyglot Notebooks.

Whether you're a .NET developer exploring new domains or a data scientist interested in Microsoft’s modern tech stack, this book is your gateway to building intelligent, cross-language, interactive applications. 💡📊

🔧 Tools covered: ML.NET | OpenAI | Semantic Kernel | .NET Interactive | Polyglot Notebooks
📗 Published by Packt | 1st Edition
👨‍💻 Author: Matt Eland

Level up your data science game – the .NET way!




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