Resources
A curated collection of tools, papers, and learning materials I find valuable in sports data science, machine learning, and AI.
Tools & Libraries
Machine Learning
- Scikit-learn - Essential ML library for Python
- PyTorch - Deep learning framework
- LangChain - Framework for building LLM applications
Data Analysis
Visualisation
- Matplotlib - Python plotting
- Seaborn - Statistical data visualisation
- Plotly - Interactive visualisations
Learning Resources
Courses
- Fast.ai - Practical deep learning courses
- Coursera ML Specialisation - Andrew Ng’s ML course
Books
- Hands-On Machine Learning by Aurélien Géron
- Deep Learning by Goodfellow, Bengio & Courville
Sports Analytics
Communities
Datasets
LLM & AI Research
Papers
- Arxiv cs.CL - Computation and Language papers
- Papers With Code - ML papers with implementations
Tools
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