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- Data analysis using regression and multilevel hierarchical models by Andrew Gelman and Jennifer Hill in 2006
- Applied Probabilistic Modeling Principled Bayesian Inference for the Discerning Practitioner by Michael Betancourt in 2020
- Decent espresso
- digital physics
- Physics and geometry by Edward Witten in 1986
- Experiential learning by David Kolb in 2015
- A Visual Introduction to Differential Forms and Calculus on Manifolds by Fortney in 2018
- Universality in intermediary metabolism by Eric Smith and Harold Morowitz in 2004
- The Molecular Basis of Cancer by John Mendelsohn et al in 2014
- screencasting
- Henry's Clinical diagnosis and management by McPherson and Pincus in 2016
- Easy and hard in the origin of life by Eric Smith in 2019
- The free energy principle for action and perception A mathematical review by Christopher Buckley, Anil Seth, et al in 2017
- genotype-tissue expression GTEx
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- natural units
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- cognitive biases
- cluster of differentiation markers
- classical music
- analytic vs continental philosophy
- Whitehead's conceptual vocabulary for process philosophy
- Statistical exponential families A digest with flash cards by Frank Nielsen and Vincent Garcia in 2011
- Speculative Empiricism Revisiting Whitehead by Didier Debaise in 2017
- Simulation of High-Energy Reactions of PArticles
- Self-organization in nonequilibrium systems from dissipative structures to order through fluctuations by Nicolis and Prigogine in 1977
- Philosophical perspectives by Max Scheler in 1929
- Pattern recognition and machine learning by Chris Bishop in 2006
- OBS studio
- Lectures on Geometrical Anatomy of Theoretical Physics by Frederic Schuller in 2015
- Introduction to dynamical large deviations of Markov processes by Hugo Touchette in 2018
- Herbert Simon's parable of two watchmakers
- Hematopathology, 2nd edition by Jaffe, Arber, Campo, Harris, and Quintanilla-Martinez
- From computation to consciousness by Joscha Bach in 2014
- Efficient probabilistic inference in the quest for physics beyond the Standard Model by Atilim Baydin, Frank Wood et al in 2019
- Doi-Peliti Path Integral Methods
- Build, Compute, Critique, Repeat Data Analysis with latent variable models by David Blei in 2014
- Alfred North Whitehead
- A Spirit of Trust by Robert Brandom in 2019