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--- tags: - wiki - learning - meta-learning - autodidact - education title: Learning & Education type: wiki-compilation visibility: public --- # Learning & Education Jeremy Nixon's compiled knowledge on how to learn effectively -- meta-learning, autodidact methods, skill acquisition, and the structure of knowledge. Synthesized from 40+ raw entries. --- ## The Autodidact's Method Jeremy's approach to learning is itself systematic: treat learning as a skill to be optimized, study the best learners, and build frameworks for knowledge acquisition. - [[compressing-how-to-learn]] -- The compressed guide to learning methodology - [[meta-learning-story-of-an-autodidact]] -- Jeremy's own learning journey as presentation - [[autodidact-resource-sharing]] -- Resources for self-directed learners - [[education]] -- Broader thoughts on education systems ## Learning Specific Domains Jeremy documented strategies for learning specific fields: ### Machine Learning & AI - [[15-03-19-ideas-for-learning-mlai]] -- Early strategies for learning ML/AI - [[17-02-01-ideas-for-learning-machine-learning]] -- Refined ML learning approach - [[17-07-07-ways-to-explain-machine-learning-algorithms]] -- Learning through teaching - [[19-01-29-machine-learning-interview-recombination]] -- ML knowledge for interviews ### Mathematics - [[16-12-09-learning-maths]] -- How to learn mathematics effectively - [[high-level-understanding-mathematics]] -- Building mathematical intuition - [[17-08-08-juicy-sides-to-mathematics-and-programming]] -- Finding the interesting parts - [[notes-strang]] -- Notes on Strang's linear algebra - [[limitations-of-mathematics]] -- Where mathematical thinking breaks down ### Computer Science - [[15-05-07-ideas-for-learning-algorithms]] -- Algorithm learning strategies - [[15-08-25-getting-good-at-algorithms]] -- From understanding to mastery - [[high-level-understanding-cs]] -- Bird's eye view of CS - [[06-21-14-learning-programming]] -- First principles of programming ### Physics & Sciences - [[high-level-understanding-physics]] -- Understanding physics at a high level - [[19-05-20-21st-century-major-scientific-breakthroughs]] -- Major scientific advances - [[18-06-02-grand-scientific-projects]] -- The biggest open scientific projects - [[20-01-29-computational-neuroscience-theories]] -- Theories of the brain ## Reading & Books Jeremy is an obsessive reader with extensive reading lists and book notes: ### Reading Lists & Recommendations - [[jeremy-nixons-bookshelf]] -- Jeremy's personal bookshelf - [[18-09-29-my-favorite-books]] -- Jeremy's favorites - [[book-list]] -- Comprehensive book list - [[reading-lists]] -- Curated reading lists - [[great-reads]] -- The best things to read - [[books-i-like-that-i-expect-lt1-of-my-friends-have-heard-of]] -- Hidden gems - [[books-to-consider-buying]] -- The acquisition pipeline ### Curated Libraries - [[patrick-collisions-bookshelf]] -- Patrick Collison's reading - [[bret-victors-library]] -- Bret Victor's influences - [[topos-library]] -- Topos Institute library - [[santa-fe-institute-library]] -- Santa Fe Institute reading - [[andreeson-horowitz-library]] -- a16z library ### Book Notes - [[notes-deep-learning-textbook]] -- Goodfellow et al. - [[notes-elements-of-statistical-learning]] -- Hastie, Tibshirani, Friedman - [[notes-the-selfish-gene]] -- Dawkins - [[notes-strang]] -- Gilbert Strang's linear algebra - [[notes-meanings-of-life]] -- Baumeister - [[applied-predictive-modeling]] -- Kuhn & Johnson - [[structure-of-scientific-revolutions]] -- Kuhn - [[relentless]] -- Tim Grover - [[patterns-of-conflict]] -- Boyd ### Meta-Reading - [[07-06-14-to-synthesize-reading]] -- How to synthesize what you read - [[19-06-18-ways-to-read-my-whole-library]] -- Strategies for reading at scale - [[19-02-02-things-i-should-read-daily]] -- Daily reading priorities - [[19-02-01-book-dissection]] -- How to deeply extract value from a book ## Learning Thinking Frameworks - [[15-07-14-ideas-for-ingraining-thinking-framework]] -- Making frameworks stick - [[15-07-17-intellectual-habitslifestyle]] -- Building an intellectual lifestyle - [[18-12-17-fields-by-transferability]] -- Which fields teach the most transferable skills - [[18-12-19-fields-to-create]] -- New fields worth creating - [[fields]] -- Overview of intellectual fields - [[on-knowing-everything]] -- The aspiration to comprehensive knowledge ## Experimentation - [[15-02-19-experiments-i-should-be-doing]] -- Personal experiments to run - [[17-09-11-experiment-ideas]] -- More experiment ideas - [[17-09-26-additional-weakness-experiments]] -- Experiments addressing weaknesses - [[experiments-list]] -- Master experiment list - [[20-07-19-learning-tools]] -- Tools for learning ## The Structure of Knowledge See also [[wiki/thinking-frameworks]] for related material on meta-concepts and information structure. - [[metalearning-the-structure-of-information]] -- The foundational document - [[overview-of-abstraction-space]] -- Mapping the space of abstractions - [[book-manuscript]] -- Jeremy's book-length treatment of abstraction - [[18-09-15-renaming-generalization]] -- When concepts need new names - [[18-01-16-how-to-talk-about-abstraction]] -- Communicating abstract ideas