Data Science with .NET and Polyglot Notebooks
Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel
Published on 18. March 2025
404 pages
978-1-83588-297-9 (ISBN)
Description
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Product notice
Reflowable
File size
12,29 MB
ISBN-13
978-1-83588-297-9 (9781835882979)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Additional editions
Matt Eland
Data Science with .NET and Polyglot Notebooks
Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel
Book
08/2024
Packt Publishing
€87.80
Shipment within 3-4 weeks
Person
Eland Matt :
Matt Eland is a senior software engineering and data science consultant at Leading EDJE in Columbus, Ohio. He loves sharing his journey by teaching software engineering, AI, and data science concepts in the most engaging ways possible. Matt has used machine learning to settle debates over whether certain movies are Christmas movies, reinforcement learning to create digital attack squirrels, data analytics to suggest improvements to his favorite TV show, and AI agents to play board games and create an AI agent with the personality of a dog. He is the author of multiple books and courses, helps organize a user group and regional conferences, holds a Master's of Science in Data Analytics, and is a 2x Microsoft MVP in AI and .NET.
Matt Eland is a senior software engineering and data science consultant at Leading EDJE in Columbus, Ohio. He loves sharing his journey by teaching software engineering, AI, and data science concepts in the most engaging ways possible. Matt has used machine learning to settle debates over whether certain movies are Christmas movies, reinforcement learning to create digital attack squirrels, data analytics to suggest improvements to his favorite TV show, and AI agents to play board games and create an AI agent with the personality of a dog. He is the author of multiple books and courses, helps organize a user group and regional conferences, holds a Master's of Science in Data Analytics, and is a 2x Microsoft MVP in AI and .NET.
Content
Table of Contents
Data Science, Notebooks, and Kernels
Exploring Polyglot Notebooks
Getting Data and Code into Your Notebooks
Working with Tabular Data and DataFrames
Visualizing Data
Variable Correlations
Classification Experiments with ML.NET AutoML
Regression Experiments with ML.NET AutoML
Beyond AutoML: Pipelines, Trainers, and Transforms
Deploying Machine Learning Models
Generative AI in Polyglot Notebooks
AI Orchestration with Semantic Kernel
Enriching Documentation with Mermaid Diagrams
Extending Polyglot Notebooks
Adopting and Deploying Polyglot Notebooks
Data Science, Notebooks, and Kernels
Exploring Polyglot Notebooks
Getting Data and Code into Your Notebooks
Working with Tabular Data and DataFrames
Visualizing Data
Variable Correlations
Classification Experiments with ML.NET AutoML
Regression Experiments with ML.NET AutoML
Beyond AutoML: Pipelines, Trainers, and Transforms
Deploying Machine Learning Models
Generative AI in Polyglot Notebooks
AI Orchestration with Semantic Kernel
Enriching Documentation with Mermaid Diagrams
Extending Polyglot Notebooks
Adopting and Deploying Polyglot Notebooks
