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Resources chosen for practical learning, with a dedicated page that explains what each resource is useful for.
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AI Engineer Roadmap
A practical AI engineering learning path connecting programming, ML, LLMs, deployment, projects, and career preparation.
Practical Deep Learning for Coders
A practical course centered on building and training deep learning systems with a strong implementation focus.
Hands-On Machine Learning
A practical reference for machine learning with Python, scikit-learn, deep learning, and modern ML workflows.
Hugging Face Hub
A platform for models, datasets, demos, and APIs for modern machine learning and LLM development.
Python Data Science Handbook
A practical reference for NumPy, pandas, matplotlib, and the core Python data stack.
UCI Machine Learning Repository
A collection of datasets useful for learning and experimenting with machine learning workflows.
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