I'm proud to share the completion and publication of my second technical book, Data Science in .NET with Polyglot Notebooks.

I wrote Data Science in .NET with Polyglot Notebooks to help experienced .NET developers replicate my journey into data science by showing them how Polyglot Notebooks and .NET Interactive help them perform interactive and iterative experiments using the .NET technologies they already know and love.

This book, published via Packt Publishing is available on Amazon and Packt's website and guides the reader through data analysis, data cleaning, feature engineering, data visualization, machine learning, model evaluation, model deployment, generative AI applications, AI orchestration, and incorporating these technologies into their current and future jobs.

For years we've been saying that .NET is capable of machine learning, and we've seen the recent innovations there in generative AI, but this book walks the user through end-to-end data analysis, transformation, machine learning, and AI applications - all using .NET technologies. It is my sincere hope that it helps developers gain comfort and competencies in these areas while also showing the .NET community what's possible with modern .NET.

What makes the book even more special are two key factors:

1. The technical reviewers for this book, Sam Gomez and Sam Nasr, are two fellow Ohio-based Microsoft MVPs.
2. I used the techniques taught in this book throughout my own professional journey and notably used them to complete my Master's in Data Analytics.

It was a special one to write and I'm proud of its contents and hope you find it helpful. If you're interested in the book, pick it up on Amazon or at Packt's website today!