Difference between r1.19 and the current
@@ -6,12 +6,18 @@
* 난이도/level/...
* classic / textbook / ...
* (가장 중요?) topic - programming, math, philosophy, ...
----
curr goto [[BooksReading]]
rel
[[노트북,notebook]]
[[텍스트북,textbook]]
MKL: chapter page [[문서,document]] [[텍스트,text]] ....
* classic / textbook / ...
* (가장 중요?) topic - programming, math, philosophy, ...
* math: mathblog 추천 books: All The Math Books You'll Ever Need (Updated 2024) https://mathblog.com/mathematics-books/
원론 프린키피아 등등 너무 오래된 것 (수백년전)은 다른 페이지로... - then, 페이지이름은?
curr goto [[BooksReading]]
rel
[[노트북,notebook]]
[[텍스트북,textbook]]
Sub:
[[책쓰기,bookwriting]] { [[책,book]] [[쓰기,writing]] 표현들: publish v. publishing n. Page name via WtEn:bookwriting }
e-book : html pages / pdf file / 과 equiv.인 경우가 많은MKL: chapter page [[문서,document]] [[텍스트,text]] ....
@@ -142,10 +148,54 @@
[[리스프,Lisp]]
[[스킴,Scheme]]
= ADDHERE =
[[스킴,Scheme]]
= ADDHERE =
= Elements by Euclid =
= ADDHERE =
https://ncatlab.org/nlab/show/Elements
[[WpEn:Euclid's_Elements]]
= Linear Algebra Done Right / Sheldon Axler =
4e pdf
https://linear.axler.net/
= The Cathedral and the Bazaar (CatB) =
https://ko.wikipedia.org/wiki/성당과_시장
https://en.wikipedia.org/wiki/The_Cathedral_and_the_Bazaar
= 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 .... NN:"resampling method" Ggl:"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,tree]]기반 [[방법,method]]?
Support vector machines // SVM support_vector_machine
Deep learning // [[심층학습,deep_learning]]
Survival analysis // survival analysis ... NN:"survival analysis" Ggl:"survival analysis"
Unsupervised learning // [[비지도학습,unsupervised_learning]]
Multiple testing // multiple testing ... NN:"multiple testing" Ggl:"multiple testing"
R버전은 번역서 있음:
tbw
= A Treatise on Electricity and Magnetism =
by J. C. Maxwell
Ggl:"A Treatise on Electricity and Magnetism" Bing:"A Treatise on Electricity and Magnetism"
= ADDHERE =
= ADDHERE =
= ADDHERE =
= ADDHERE =
= ADDHERE == ADDHERE =
TODO
분류필요
분류필요
- 웹에서 접근가능한 free book (전문공개) / 일부공개 / 비공개 / ...
- 언어
- 난이도/level/...
- classic / textbook / ...
- (가장 중요?) topic - programming, math, philosophy, ...
- math: mathblog 추천 books: All The Math Books You'll Ever Need (Updated 2024) https://mathblog.com/mathematics-books/
- math: mathblog 추천 books: All The Math Books You'll Ever Need (Updated 2024) https://mathblog.com/mathematics-books/
curr goto BooksReading
rel
노트북,notebook
텍스트북,textbook
Sub:
책쓰기,bookwriting { 책,book 쓰기,writing 표현들: publish v. publishing n. Page name via
bookwriting }
e-book : html pages / pdf file / 과 equiv.인 경우가 많은
노트북,notebook
텍스트북,textbook
Sub:
책쓰기,bookwriting { 책,book 쓰기,writing 표현들: publish v. publishing n. Page name via
bookwriting }e-book : html pages / pdf file / 과 equiv.인 경우가 많은
Contents
- 1. books to buy
- 2. Principia Mathematica
- 3. Philosophiæ Naturalis Principia Mathematica
- 4. 최신 공학수학 with Sage
- 5. 기호논리학 Elementary Logic
- 6. Compilers: Principles, Techniques, and Tools
- 7. Calculus Made Easy
- 8. 논리철학논고 / Tractatus Logico-Philosophicus / TLP
- 9. Feynman Lectures on Physics
- 10. A New Kind of Science (NKS)
- 11. Syntactic Structures
- 12. SICP
- 13. Elements by Euclid
- 14. Linear Algebra Done Right / Sheldon Axler
- 15. The Cathedral and the Bazaar (CatB)
- 16. An Introduction to Statistical Learning (ISL)
- 17. A Treatise on Electricity and Magnetism
- 18. ADDHERE
- 19. ADDHERE
- 20. ADDHERE
- 21. ADDHERE
- 22. ADDHERE
- 23. ADDHERE
4. 최신 공학수학 with Sage ¶
성대 이상구교수?
이 section 만든 건 우연히 youtube에 한빛미디어 강의동영상이 떠서
https://www.youtube.com/playlist?list=PLvdDBySKzeclM9UXwpK5M2dpqexCDWrn3
https://www.youtube.com/playlist?list=PLvdDBySKzeclM9UXwpK5M2dpqexCDWrn3
5. 기호논리학 Elementary Logic ¶
원서
![[ISBN-019501491X]](http://images.amazon.com/images/P/019501491X.01.MZZZZZZZ.gif "Amazon:ISBN-019501491X")
019501491X
번역판
8931022964 9788931022964
019501491X번역판
By:
벤슨 메이츠 Benson Mates // Benson_Mates
1919-2009
PhD. UC Berkeley
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
https://blog.whimslab.io/how-much-work-does-it-take-to-build-a-programming-language-784a6868f4e9
7. Calculus Made Easy ¶
Calculus Made Easy by Silvanus P. Thompson (1910) | Hacker News
https://news.ycombinator.com/item?id=38057837
https://news.ycombinator.com/item?id=38057837
![[ISBN-0262011530]](http://images.amazon.com/images/P/0262011530.01.MZZZZZZZ.gif "Amazon:ISBN-0262011530")
![[ISBN-0262510871]](http://images.amazon.com/images/P/0262510871.01.MZZZZZZZ.gif "Amazon:ISBN-0262510871")
![[ISBN-0070004846]](http://images.amazon.com/images/P/0070004846.01.MZZZZZZZ.gif "Amazon:ISBN-0070004846")
16. An Introduction to Statistical Learning (ISL) ¶
An Introduction to Statistical Learning
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
What is statistical_learning?
Regression - 회귀,regression
Classification - 분류,classification
Resampling methods // resampling method ....
resampling method resampling methodLinear 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 analysisUnsupervised learning // 비지도학습,unsupervised_learning
Multiple testing // multiple testing ...
multiple testing multiple testingR버전은 번역서 있음:
tbw
tbw
