Samples.DataScience.MachineLearning.ArtificialIntelligence

readme.md

Repository for Playground with Data Science, Machine Learning and Artificial Intelligence

• tools

• algorithms

https://learn.microsoft.com/en-us/dotnet/ai/

• Microsoft.Extensions.AI

  • https://learn.microsoft.com/en-us/dotnet/ai/microsoft-extensions-ai

• MAF Microsoft Agent Framework

  • https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview

• MCP Model Context Protocol

  • https://learn.microsoft.com/en-us/dotnet/ai/get-started-mcp

• Semantic Kernel

  • obsolete

  • part of MAF now

  • https://learn.microsoft.com/en-us/semantic-kernel/overview/

  • https://github.com/microsoft/semantic-kernel

    • https://github.com/microsoft/semantic-kernel/tree/main/dotnet/samples

• Kernel Memory

  • https://github.com/microsoft/kernel-memory

• CSnakes

  • https://github.com/tonybaloney/CSnakes

• pythonnet - Python.NET

  • https://github.com/pythonnet/pythonnet

Related

• Python

  • https://github.com/Samples-Playgrounds/Samples.Python

    • https://github.com/Samples-Playgrounds/Samples.Python/tree/main/samples/docling

Diverse

• Whisper.net

  • https://github.com/sandrohanea/whisper.net

• https://medium.com/@danielepiscaglia/from-c-to-ai-a-comprehensive-analysis-and-roadmap-85f33f9851bc

• https://www.reddit.com/r/csharp/comments/1kwvlwf/cs_place_in_the_ai_ecosystem/

• https://www.reddit.com/r/LocalLLaMA/comments/1ghaz6q/just_tried_out_semantic_kernel_in_net/

• https://medium.com/@aschultzme/building-ai-powered-net-applications-with-semantic-kernel-0cacd0c43877

• https://www.reddit.com/r/dotnet/comments/1fol2jg/semantic_kernel_multiple_users_initial_context/

• https://www.reddit.com/r/Blazor/comments/1hg6ffr/any_real_useful_applications_of_semantic_kernel/

• https://medium.com/lets-code-future/i-almost-missed-the-biggest-shift-in-my-career-until-net-met-ai-54c09517b99f

Jobs

• https://www.gravitasgroup.co.uk/blog/the-future-of-c-developers-in-2025-and-beyond-how-ai-is-impacting-jobs-and-skills

Technical foundations

Knowledge of AI libraries like TensorFlow.NET, CNTK, Accord.NET. AI integration patterns and recommended best practices for .NET applications. Cloud based AI and ML services using C#. ML.NET and Azure AI services. According to JetBrains Developer Ecosystem Survey 69% of developers have used AI tools like ChatGPT and GitHub Copilot for coding. This trend is set to continue in 2025 and includes the following areas:

Data and analytics

Data structures and algorithms Machine learning Data preparation and model training Business and communication

Business to AI solutions Technical to non-technical AI ethics and governance

https://medium.com/@CodeWithYog/16d8fa16fbbe

Roadmap for .NET Devs Brush up on Python basics and NumPy Learn ML fundamentals with scikit-learn Build a few projects using real datasets Try deep learning with PyTorch or TensorFlow Deploy with FastAPI + Docker Explore MLOps (MLflow, Azure ML, CI/CD) Specialize in NLP or Computer Vision Publish your work (GitHub, blog, Medium) Apply AI skills in freelance or work projects