**Some interesting statistics books with full text freely available online:**

- Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi (2021).
- Probabilistic Machine Learning: An Introduction by Kevin P. Murphy (2021).
- Probabilistic Machine Learning: Advanced Topics by Kevin P. Murphy (2022).
- Core Statistics by Simon Wood (2014)
- An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2013)
- Bayesian Reasoning and Machine Learning by David Barber (2012).
- Principles of Uncertainty by Joseph Kadane (2011).
- The Elements of Statistical Learning (2nd edition) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2009)
- Introduction to Statistical Thought by Michael L. Lavine (2006)
- Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams (2006).
- Information Theory, Inference, and Learning Algorithms (video lectures) by David J. C. MacKay (2003).
- Fragmentary version of Probability Theory: The Logic of Science by Edwin T. Jaynes (1994).

**Other links:**

- Feynman Lectures of Physics.
- Motion Mountain - The Adventure of Physics by Christoph Schiller.
- Online resources and books concerning statistical distributions and matrices.
- Check the Virtual Laboratories in Probability and Statistics.