# Main Content

Data Science — Resources

- Books
- An Introduction to Statistical Learning, with Applications in R, Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (Springer, 2013).
- Python Data Science Handbook, Essential Tools for Working with Data, Jake VanderPlas (O'Reilley, November 2016)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition), Trevor Hastie, Robert Tibshirani, and Jerome Friedman (Springer, 2009)

- Communities and Websites
- Data Science Central: The Online Resource for Big Data Practitioners [LinkedIn]
- Towards Data Science: Sharing concepts, ideas and codes

- Datasets
- Datasets for "The Elements of Statistical Learning"
- Kaggle [Competitions]
- UCI Machine Learning Repository
- v7labs Open Datasets

- Journals

- Languages / Tools / Libraries
- C, Python, CUDA
- StarPU, ScalFMM
- cuBLAS, CUDA Math Library, cuSPARSE, cuSOLVER
- Tensorflow, PyTorch

- Videos / On-Line Courses