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Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. Each tutorial is designed to be standalone and adaptable for self-study, classroom teaching, or use at summer schools and community workshops.
Features
- Interactive Colab notebooks covering key machine learning concepts
- Introductory tutorials on Python, NumPy, and JAX for deep learning
- Modules on supervised, unsupervised, and reinforcement learning
- Engaging lessons on AI creativity, language modeling, and scientific thinking
- Graph Neural Network (GNN) introduction using JAX/jraph
- Openly licensed for free reuse and educational adaptation