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AI & Machine Learning

AI Engineer

Build intelligent systems using AI and machine learning

Learning Path

Follow this curated roadmap with 3 sections and hand-picked GitHub resources to master AI Engineer.

1

Fundamentals

practical-tutorials/project-based-learning

Curated project-based AI/ML tutorials with hands-on implementation

microsoft/AI-For-Beginners

12-week, 24-lesson AI curriculum by Microsoft

afshinea/stanford-cs-229-machine-learning

Stanford CS229 Machine Learning cheatsheets

2

Deep Learning

fastai/fastai

Simplified deep learning library with practical courses

d2l-ai/d2l-en

Interactive deep learning book with code, math, and discussions

tensorflow/tensorflow

End-to-end ML platform with tutorials and examples

3

AI Projects & Applications

eugeneyan/applied-ml

Curated papers & tech blogs from companies applying ML

trekhleb/homemade-machine-learning

Python examples of ML algorithms with interactive demos

Ready to Get Started?

Begin your learning journey by exploring these resources in order. Build projects, contribute to open source, and join the community!

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