1. books to buy ¶

1.1. 박주항(추리소년) 저서 ¶

Yuza OS
Yuza OS

레트로 게임 개발 바이블
https://github.com/pdpdds/retrogamedev
레트로 게임 개발 바이블

https://github.com/pdpdds

https://blog.naver.com/pdpdds

https://juhang3.tistory.com - 한글패치 작업소

故 박주항 (추리소년) 님의 명복을 빕니다 - YouTube
https://www.youtube.com/watch?v=33iwRif7EOY

2. Principia Mathematica ¶

Principia_Mathematica

프린키피아 마테마티카
수학 원리

Rel 로지코믹스 로지코믹스 로지코믹스

Bertrand_Russell
Alfred_Whitehead

https://ko.wikipedia.org/wiki/수학_원리
https://simple.wikipedia.org/wiki/Principia_Mathematica
https://plato.stanford.edu/entries/principia-mathematica/

3. Philosophiæ Naturalis Principia Mathematica ¶

Issac_Newton
고전역학,classical_mechanics

https://ko.wikipedia.org/wiki/자연철학의_수학적_원리
Philosophiæ_Naturalis_Principia_Mathematica

4. 최신 공학수학 with Sage ¶

5. 기호논리학 Elementary Logic ¶

기호논리학
기초논리학에 가까운 이름인데 책 제목 번역을 기호논리학,symbolic_logic으로 했다. 전자는 너무 쉬워보여서인가?

원서
019501491X
번역판

8931022964 9788931022964

Elementary Logic Benson Mates

By:
벤슨 메이츠 Benson Mates // Benson_Mates
1919-2009
PhD. UC Berkeley

Page: 기호논리학,Elementary_Logic

6. Compilers: Principles, Techniques, and Tools ¶

Compilers:_Principles,_Techniques,_and_Tools
= https://en.wikipedia.org/wiki/Compilers:_Principles,_Techniques,_and_Tools

tmp links

How Much Work Does It Take to Build a Programming Language? | by Yiming Cao | Jan, 2024 | Medium
https://blog.whimslab.io/how-much-work-does-it-take-to-build-a-programming-language-784a6868f4e9

컴파일,compile
컴파일러,compiler
프로그래밍언어,programming_language

7. Calculus Made Easy ¶

8. 논리철학논고 / Tractatus Logico-Philosophicus / TLP ¶

논리철학_논고
https://en.wikipedia.org/wiki/Tractatus_Logico-Philosophicus

... Tractatus Logico-Philosophicus 논리철학논고

by Ludwig_Wittgenstein { https://ko.wikipedia.org/wiki/루트비히_비트겐슈타인 https://en.wikipedia.org/wiki/Ludwig_Wittgenstein }

9. Feynman Lectures on Physics ¶

10. A New Kind of Science (NKS) ¶

11. Syntactic Structures ¶

12. SICP ¶

(MIT Press hardcover)
(MIT Press paperback)
(McGraw-Hill hardcover)

리스프,Lisp
스킴,Scheme

13. Elements by Euclid ¶

https://ncatlab.org/nlab/show/Elements

Euclid's_Elements

14. Linear Algebra Done Right / Sheldon Axler ¶

15. The Cathedral and the Bazaar (CatB) ¶

16. An Introduction to Statistical Learning (ISL) ¶

An Introduction to Statistical Learning

https://www.statlearning.com/

R과 Python 두 언어로 같은 내용이 나온 듯?

홈페이지에 전문 무료공개인가? 아무튼 pdf 다운 가능.

The chapters cover the following topics:
What is statistical_learning?
Regression - 회귀,regression
Classification - 분류,classification
Resampling methods // resampling method .... resampling method resampling method
Linear model selection and regularization // linear_model model_selection model_regularization ? 모형,model 모델,model 정칙화,regularization
Moving beyond linearity // 선형성,linearity
Tree-based methods // 트리,tree기반 방법,method?
Support vector machines // SVM support_vector_machine
Deep learning // 심층학습,deep_learning
Survival analysis // survival analysis ... survival analysis survival analysis
Unsupervised learning // 비지도학습,unsupervised_learning
Multiple testing // multiple testing ... multiple testing multiple testing

R버전은 번역서 있음:
tbw

17. A Treatise on Electricity and Magnetism ¶

by J. C. Maxwell
A Treatise on Electricity and Magnetism A Treatise on Electricity and Magnetism

18. ADDHERE ¶

19. ADDHERE ¶

20. ADDHERE ¶

21. ADDHERE ¶

22. ADDHERE ¶

23. ADDHERE ¶