You're reading from Data Science with .NET and Polyglot Notebooks Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835882962

Length 404 pages

Edition 1st Edition

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Artificial Intelligence

Author (1):

Matt Eland

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Table of Contents (22) Chapters

Preface

1. Part 1: Data Analysis in Polyglot Notebooks

2. Chapter 1: Data Science, Notebooks, and Kernels FREE CHAPTER

3. Chapter 2: Exploring Polyglot Notebooks

4. Chapter 3: Getting Data and Code into Your Notebooks

5. Chapter 4: Working with Tabular Data and DataFrames

6. Chapter 5: Visualizing Data

7. Chapter 6: Variable Correlations

8. Part 2: Machine Learning with Polyglot Notebooks and ML.NET

9. Chapter 7: Classification Experiments with ML.NET AutoML

10. Chapter 8: Regression Experiments with ML.NET AutoML

11. Chapter 9: Beyond AutoML: Pipelines, Trainers, and Transforms

12. Chapter 10: Deploying Machine Learning Models

13. Part 3: Exploring Generative AI with Polyglot Notebooks

14. Chapter 11: Generative AI in Polyglot Notebooks

15. Chapter 12: AI Orchestration with Semantic Kernel

16. Part 4: Polyglot Notebooks in the Enterprise

17. Chapter 13: Enriching Documentation with Mermaid Diagrams

18. Chapter 14: Extending Polyglot Notebooks

19. Chapter 15: Adopting and Deploying Polyglot Notebooks

20. Index

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21. Other Books You May Enjoy

Technical requirements

This chapter assumes that you have installed Polyglot Notebooks and VS Code. See Chapter 2 for additional details on this process.

Additionally, this chapter will involve hosting an ML.NET model in an ASP.NET Web API project. This can be done in VS Code with the web development workflow installed, or in Visual Studio.

For consistency and cross-platform support, this chapter will feature examples in VS Code when working with our web application. See the Further reading section for resources on working with Visual Studio and ASP.NET Web API projects.

You can follow along with the code in this chapter by opening the Chapter10.dib notebook located in the Chapter10 folder of the repository, which is located at https://github.com/PacktPublishing/Data-Science-with-.NET-and-Polyglot-Notebooks

The second half of this chapter will work with the Chapter10/WinLossPredictorApi/WinLossPredictorApi.sln solution file from the same repository in either Visual Studio...