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Data Science with .NET and Polyglot Notebooks
Data Science with .NET and Polyglot Notebooks

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

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Profile Icon Matt Eland
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$18.99 $38.99
Book Aug 2024 404 pages 1st Edition
eBook
$18.99 $38.99
Print
$32.99 $47.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon Matt Eland
Arrow right icon
$18.99 $38.99
Book Aug 2024 404 pages 1st Edition
eBook
$18.99 $38.99
Print
$32.99 $47.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$18.99 $38.99
Print
$32.99 $47.99
Subscription
Free Trial
Renews at $19.99p/m

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Data Science with .NET and Polyglot Notebooks

Part 1: Data Analysis in Polyglot Notebooks

We’ll start our journey by introducing Polyglot Notebooks and their role in software engineering, data analysis, and machine learning workflows. We’ll cover the Polyglot Notebooks technology and user interface as well as the basic decisions and actions you’ll make working with notebooks.

The remainder of this part focuses on loading data into a notebook and then performing data analysis in Polyglot Notebooks using .NET tooling using C# and F#.

Whether you’re an experienced data analyst or have no prior knowledge, you’ll learn how to load up, analyze, clean, and manipulate data using .NET technologies like the DataFrame.

You’ll also see how you can effectively understand data distributions and create helpful visuals using libraries like Plotly.NET, Microsoft.Data.Analysis, and MathNet.Numerics.

This part has the following chapters:

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Key benefits

  • Conduct a full range of data science experiments with clear explanations from start to finish
  • Learn key concepts in data analytics, machine learning, and AI and apply them to solve real-world problems
  • Access all of the code online as a notebook and interactive GitHub Codespace
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI. With Microsoft’s .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers. This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you’ll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field. By the end of the book, you’ll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem.

What you will learn

  • Load, analyze, and transform data using DataFrames, data visualization, and descriptive statistics
  • Train machine learning models with ML.NET for classification and regression tasks
  • Customize ML.NET model training pipelines with AutoML, transforms, and model trainers
  • Apply best practices for deploying models and monitoring their performance
  • Connect to generative AI models using Polyglot Notebooks
  • Chain together complex AI tasks with AI orchestration, RAG, and Semantic Kernel
  • Create interactive online documentation with Mermaid charts and GitHub Codespaces

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2024
Length 404 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835882962
Category :
Languages :
Tools :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
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Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Aug 30, 2024
Length 404 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835882962
Category :
Languages :
Tools :

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Table of Contents

22 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Data Analysis in Polyglot Notebooks Chevron down icon Chevron up icon
2. Chapter 1: Data Science, Notebooks, and Kernels Chevron down icon Chevron up icon
3. Chapter 2: Exploring Polyglot Notebooks Chevron down icon Chevron up icon
4. Chapter 3: Getting Data and Code into Your Notebooks Chevron down icon Chevron up icon
5. Chapter 4: Working with Tabular Data and DataFrames Chevron down icon Chevron up icon
6. Chapter 5: Visualizing Data Chevron down icon Chevron up icon
7. Chapter 6: Variable Correlations Chevron down icon Chevron up icon
8. Part 2: Machine Learning with Polyglot Notebooks and ML.NET Chevron down icon Chevron up icon
9. Chapter 7: Classification Experiments with ML.NET AutoML Chevron down icon Chevron up icon
10. Chapter 8: Regression Experiments with ML.NET AutoML Chevron down icon Chevron up icon
11. Chapter 9: Beyond AutoML: Pipelines, Trainers, and Transforms Chevron down icon Chevron up icon
12. Chapter 10: Deploying Machine Learning Models Chevron down icon Chevron up icon
13. Part 3: Exploring Generative AI with Polyglot Notebooks Chevron down icon Chevron up icon
14. Chapter 11: Generative AI in Polyglot Notebooks Chevron down icon Chevron up icon
15. Chapter 12: AI Orchestration with Semantic Kernel Chevron down icon Chevron up icon
16. Part 4: Polyglot Notebooks in the Enterprise Chevron down icon Chevron up icon
17. Chapter 13: Enriching Documentation with Mermaid Diagrams Chevron down icon Chevron up icon
18. Chapter 14: Extending Polyglot Notebooks Chevron down icon Chevron up icon
19. Chapter 15: Adopting and Deploying Polyglot Notebooks Chevron down icon Chevron up icon
20. Index Chevron down icon Chevron up icon
21. Other Books You May Enjoy Chevron down icon Chevron up icon
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