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Data Science with .NET and Polyglot Notebooks

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835882962
Length 404 pages
Edition 1st Edition
Languages
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Author (1):
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Matt Eland Matt Eland
Author Profile Icon Matt Eland
Matt Eland
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Table of Contents (22) Chapters Close

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 21. Other Books You May Enjoy

Introducing Semantic Kernel

Semantic Kernel is Microsoft’s open source AI orchestration solution.

As with everything related to LLMs, and AI orchestration in particular, Semantic Kernel is rapidly evolving and continues to grow and change.

Semantic Kernel was first previewed in March 2023, entered beta in October 2023, and then was formally released in December of that same year.

A number of aspects of Semantic Kernel are still considered experimental, including some aspects presented in this chapter related to memory and planning. Keep in mind that by the time you read this chapter, the actual implementation details may be slightly different than what’s outlined in this book.

That said, it’s worth covering Semantic Kernel because Semantic Kernel and the generative AI capabilities we covered in the last chapter are the most exciting developments in the .NET AI ecosystem since ML.NET’s AutoML capabilities were released in 2019.

Microsoft describes...

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