Data Science with .NET and Polyglot Notebooks
eBook Details:
- Paperback: 404 pages
- Publisher: WOW! eBook (August 30, 2024)
- Language: English
- ISBN-10: 183588296X
- ISBN-13: 978-1835882962
eBook Description:
Data Science with .NET and Polyglot Notebooks: Programmer’s guide to data science using ML.NET, OpenAI, and Semantic Kernel. Expand your skillset by learning how to perform data science, machine learning, and generative AI experiments in .NET Interactive notebooks using a variety of languages, including C#, F#, SQL, and PowerShell.
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 with .NET and 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.
- 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
By the end of the Data Science with .NET and Polyglot Notebooks 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.
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