books
Links to this note
- open documents
- maxima
- a containerized jupyter notebook with multiple kernels on Arch Linux
- Connect emacs TRAMP to gcp container using gcloud compute config-ssh
- Data analysis using regression and multilevel hierarchical models by Andrew Gelman and Jennifer Hill in 2006
- Bayesian data analysis by Andrew Gelman, Aki Vehtari, et al in 2014
- pathology references
- interacting particle systems
- reading list
- Bayesian approaches to clinical trials and health-care evaluation by David Spiegelhalter, Keith Abrams, and Jonathan Myles in 2004
- Physics from Symmetry by Jakob Schwichtenberg in 2015
- physics
- probabilistic inference
- variational inference
- setup calibre web server from docker container on kubernetes cluster
- random dynamical systems
- process philosophy a survey of basic issues by Nicholas Rescher in 2000
- library
- jupyter notebooks
- google cloud AI platform notebooks
- gene expression dynamics
- dashboards from jupyter notebooks
- collectors fallacy
- The World A brief introduction by Richard Haass in 2020
- The Scientific Method An Evolution of Thinking from Darwin to Dewey by Henry Cowles in 2020
- The Knowledge Economy by Roberto Mangabeira Unger in 2019
- Symmetry analysis of differential equations by Gerd Baumann in 2000
- Statistical rethinking by Richard McElreath in 2020
- Statistical Physics of Complex Systems by Eric Bertin in 2016
- Sellars and his legacy by James O'Shea in 2017
- Renormalization methods a guide for beginners by McComb in 2004
- Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari in 2020
- Process Metaphysics An introduction to process philosophy by Nicholas Rescher in 1996
- Population biology and criticality by Nico Stollenwerk and Vincent Johnson in 2010
- Pattern recognition and machine learning by Chris Bishop in 2006
- Optimal transport for Applied Mathematicians Calculus of Variations, PDEs, and Modeling by Filippo Santambrogio in 2015
- Nature as Event The Lure of the Possible by Didier Debaise in 2017
- Mathematical concepts by Jurgen Jost in 2015
- Making it explicit by Robert Brandom in 1998
- Lectures on Geometrical Anatomy of Theoretical Physics by Frederic Schuller in 2015
- Jurgen Jost
- Information geometry by Nihat Ay, Jurgen Jost, et al in 2017
- Intelligence and spirit by Reza Negarestani in 2018
- Information Geometry and Population Genetics by Julian Hofrichter, Jurgen Jost, and Tat Dat Tran in 2017
- How to construct and debug a dockerfile
- Epistemology An introduction to the theory of knowledge by Nicholas Rescher in 2003
- Dynamical Systems Examples of Complex Behavior by Jurgen Jost in 2005
- Current best practices in single‐cell RNA‐seq analysis a tutorial by Malta Luecken and Fabian Theis in 2019
- Cosma Shalizi
- Bayesian reasoning and machine learning by David Barber in 2012
- Articulating reasons An introduction to inferentialism by Robert Brandom in 2000
- A high-bias, low-variance introduction to Machine Learning for physicists by Pankaj Mehta, Charles Fisher, David Schwab, et al in 2018
- A Spirit of Trust by Robert Brandom in 2019