Data Science with .NET and Polyglot Notebooks
Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel
Created by Matt Eland
Explore how to use your .NET skills to tackle real data science and machine learning projects. Get hands-on with Polyglot Notebooks, ML.NET, and generative AI tools to analyze data, build models, and orchestrate AI workflows. Gain practical experience by working through interactive experiments and real-world scenarios.
Packt | Aug 2024 | 404 min
What You Will Learn
You will work through practical experiments using Polyglot Notebooks and ML.NET, starting with data analysis and moving into model building and deployment. Along the way, you will connect to generative AI models and orchestrate advanced tasks with Semantic Kernel. Each step builds your confidence and helps you apply new skills directly to your projects.
Key Features
- Analyze and visualize data using DataFrames and descriptive statistics in .NET
- Build and deploy machine learning models with ML.NET and automate workflows
- Integrate generative AI and orchestrate complex tasks using Semantic Kernel
Target Audience
Designed for C# or F# developers with intermediate experience who want to branch into data science and machine learning. If you are looking to leverage your .NET background to solve analytics challenges, build intelligent applications, or explore generative AI, you will find clear guidance and actionable skills to help you succeed.
