input-queue
Table of Contents
- 1. Deferred Internal Index
- 2. Utilities Index
- 3. Crowd sourcing
- 4. Blogs
- 5. Books
- 5.1. https://nick-black.com/dankwiki/index.php/Book_list_for_streetfighting_computer_scientists
- 5.2. https://tgvaughan.github.io/sicm/toc.html
- 5.3. https://www.goodreads.com/book/show/44144493-fundamentals-of-software-architecture?ref=rae_3
- 5.4. https://www.goodreads.com/book/show/120532868-machine-learning-system-design-interview
- 5.5. https://www.goodreads.com/book/show/54109255-system-design-interview-an-insider-s-guide
- 5.6. https://huyenchip.com/ml-interviews-book/
- 5.7. https://www.masteringemacs.org/book
- 5.8. Mastering Regular Expressions, 3rd Edition [Book]
- 5.9. http://www.paulgraham.com/hp.html
- 5.10. https://course.fast.ai/Resources/book.html
- 5.11. https://pimbook.org/
- 5.12. Probabilistic Machine Learning
- 5.13. Peopleware : Productive projects and teams
- 5.14. Structure and Interpretation of Classical Mechanics
- 6. Courses
- 7. Papers
- 7.1. The UNIX time-sharing system
- 7.2. Dynamo: Amazon’s highly available key-value store - Amazon Science
- 7.3. [2003.02320] Knowledge Graphs
- 7.4. https://www.lrde.epita.fr/dload/papers/newton.16.monad.report.pdf
- 7.5. https://applied-langua.ge/~hayley/swcl-gc.pdf
- 7.6. https://explained.ai/matrix-calculus/
- 8. Docs/tools/tuts
- 8.1. https://cstack.github.io/db_tutorial/
- 8.2. http://regextutorials.com/
- 8.3. https://spacy.io/
- 8.4. GitHub - dabeaz-course/python-mastery: Advanced Python Mastery
- 8.5. GitHub - jesseduffield/lazydocker
- 8.6. Gensim: Topic modelling for humans
- 8.7. Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP
- 8.8. https://jupyter-ai.readthedocs.io/en/latest/
- 8.9. https://seed-rs.org/
- 8.10. https://lunrjs.com/
- 8.11. https://github.com/norvig/pytudes
- 8.12. https://www.math.uci.edu/~rvershyn/teaching/hdp/hdp.html
- 8.13. svg - xah lee tutorial
- 8.14. https://voila.readthedocs.io/en/stable/
- 8.15. SQL
- 8.16. DBs
- 8.17. languages
- 8.18. https://www.fon.hum.uva.nl/praat/
I like reading technical books and am planning to expand my coverage to include foundational papers of some subjects that I find interesting: with the intention of understanding how subjects today interweave. This buffer maintains a cache of technical papers/books/blogs/similar resources I'd like to go through. This is also an exercise in building up my reading efficiency for technical texts. I'm pretty quick with generic public domain non-fiction now and would like to up the ante: to maintain the effort I require to achieve flow (Mihaly Csikszentmihalyi). I'll most likely begin with foundational papers in any domain and then explore depth if need be. will not be limiting myself to anything specific : anything goes - this is a new hobby. I'd also like maintaining a log of all relevant articles/interviews/not-so-easily-indexable content that I've consumed here.
1. Deferred Internal Index
Refraining from linking nodes as these are meta-informative and don't really point to populated nodes. These are meant to be navigated with org-roam emacs and accessing them is convenient as is with helm-completion
- stream node
0x21B0ofOOProot node - stream node
0x21B0ofEmacstool node - complete first resource of
Axiologymeta root node and populate all relevances - fill in the basics of the
Searchnode and initialize a project for your brain dump where you write a basic search engine for the same : i'm inclined towards a browser-based grep solution.- building an index is what I do for the main blog using lunr.js, but I'd like to experiment a little on the main site.
2. Utilities Index
6. Courses
6.1. MIT OCW
- plan to regularly use these to build a very vast skillset
- will be populating what I learn in this brain dump
- https://ocw.mit.edu/
6.2. Spinning up in Deep RL
7. Papers
8. Docs/tools/tuts
8.3. https://spacy.io/
8.9. https://seed-rs.org/
8.10. https://lunrjs.com/
8.13. svg - xah lee tutorial
8.17. languages
- https://www.perl.org/ : aka the duct tape of the internet