모두의 연구소

http://pay.modulabs.co.kr/register_171222/

세벌식

https://xn–pk3bl9feqb.kr/

blog

https://1ambda.blog/

Mathematics

생새우초밥 https://freshrimpsushi.tistory.com/

위너 수학블로그 https://j1w2k3.tistory.com/745

강의 https://www.qstudy.kr/#

https://ghebook.blogspot.com/2010/07/limit.html?m=1

AWESOME AI BOOKS https://github.com/zslucky/awesome-AI-books/blob/master/README.md

https://darkpgmr.tistory.com/m/132

강의, OCW

convex opt http://www.stat.cmu.edu/~ryantibs/convexopt/

선형대수, 미적분, 수치해석 OS 디자인 패턴은 간단히 - 모던 디자인 패턴 C MFC, OpenGL, Direct3d, IOCP http://m.todayhumor.co.kr/view.php?table=total&no=5176692

공학수학 - KOCW

pabii 수학&통계학

한페이지 머신러닝 https://opentutorials.org/module/3653

Q-learning과 Grid Search의 관계는?

MIT ML https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

MIT LA 요약! https://gentlej90.tistory.com/33?category=681803

ratsgo

네트워크 OSI 7계층

파이썬 http://www.yes24.com/Product/Goods/55258117?scode=032&OzSrank=1

알고리즘 http://www.yes24.com/Product/Goods/8006522?scode=032&OzSrank=1

클린코드 http://www.yes24.com/Product/Goods/11681152

쇼핑몰- 클레이풀

확률 https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/video-lectures/

수치해석 https://m.blog.naver.com/PostView.nhn?blogId=mykepzzang&logNo=220059471705&proxyReferer=https%3A%2F%2Fwww.google.com%2F

수리통계학 http://ocw.kookmin.ac.kr/?course=12343

파비책 https://blog.pabii.co/textbooks-data-science/

AI https://blog.pabii.co/dqn-i2a-agi-brain-initiative/

존스홉킨스 Intro to Python Intro to Java Data Structures Discrete Mathematics General Applied Mathematics Multivariable and Complex Analysis Intro to Ordinary and Partial Differential Equations

Foundations of Algorithms Statistical Methods and Data Analysis

Principles of Database Systems Data Science Data Visualization Introduction to Optimization Statistical Models and Regression Computational Statistics

https://blog.pabii.co/data-science-masters/

https://medium.com/@pcmagazine/ai-comes-to-edge-computing-20ff3ebeb93b?source=email-c46af002f113-1555790036512-digest.reader——0-59——————13460913_77ae_42b2_8c8b_02e8e89ed7e7-16&sectionName=recommended

https://syncedreview.com/2019/04/19/facebook-randomly-wired-neural-networks-outperform-humandesigned-for-image-recognition/amp/

https://tensorflow.blog/2017/02/06/wasserstein-gan-1701-07875/

https://blog.pabii.co/data-science-not-machine-learning/

logit vs probit

대학원 머신러닝 https://blog.pabii.co/machine-learning-graduate-level/

https://brunch.co.kr/@aidenswmo/2

스탠포드 ML https://youtu.be/PySo_6S4ZAg

Machine Learning

DS for Free: https://www.youtube.com/watch?v=eTxyviU0Ddo

Machine Learning 강의 노트: https://wikidocs.net/7635

Machine Learning 요약 노트: https://wikidocs.net/book/2445

딥러닝 학습자료 모음: https://github.com/jwkcp/deeplearning

An Introduction to Deep Reinforcement Learning: https://arxiv.org/abs/1811.12560?fbclid=IwAR3l5cub0eumIXKvqLc0LrXdau4ZCk4km-gZjuLK20QKEnf-R9KlV7NbbeI

NONML

ML은 아니지만 Brilliant: https://brilliant.org

벡터의 내적과 직선: https://m.blog.naver.com/PostView.nhn?blogId=yh6613&logNo=221215246030&proxyReferer=https%3A%2F%2Fwww.google.com%2F

게임에서의 내외적: http://rapapa.net/?p=2974

내외적 직관: https://ko.khanacademy.org/math/linear-algebra/vectors-and-spaces/dot-cross-products/v/dot-and-cross-product-comparison-intuition

IDEA

공포기반의 강화학습? https://www.youtube.com/watch?v=dbP2aa6k-co

구글 머신러닝 단기(정밀도와 재현율) https://developers.google.com/machine-learning/crash-course/classification/precision-and-recall?hl=ko

LR https://towardsdatascience.com/3-things-you-didnt-know-about-simple-linear-regression-b5a86362dd53

LR2 https://towardsdatascience.com/linear-regression-simplified-ordinary-least-square-vs-gradient-descent-48145de2cf76

면접 https://www.youtube.com/watch?v=JyFhbml4I7Y

LR vs SVM https://towardsdatascience.com/support-vector-machine-vs-logistic-regression-94cc2975433f

DS Interview https://towardsdatascience.com/mastering-the-data-science-interview-15f9c0a558a7

BIAS and VARIANCE https://modulabs-biomedical.github.io/Bias_vs_Variance

datacamp

https://youtu.be/N4gDikiec8E

LA https://ocw.mit.edu/resources/res-18-009-learn-differential-equations-up-close-with-gilbert-strang-and-cleve-moler-fall-2015/differential-equations-and-linear-algebra/

a와 the https://www.youtube.com/watch?v=ToSftf8pjvE

lambda https://1ambda.github.io

선대 https://darkpgmr.tistory.com/105 https://gentlej90.tistory.com/10 https://twlab.tistory.com/3

기초강의 정리 https://pinedance.github.io/blog/2018/08/07/Lectures-for-DataScience

Best DS Course https://www.youtube.com/watch?v=MGnXMu9GFig

Python https://lectures.quantecon.org/py/

ML Books https://www.youtube.com/watch?v=JqcdEeu527M

https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about

수포 머신러닝 http://www.moreagile.net/2015/05/how-to-start-machine-learning-study.html

https://www.inflearn.com/course/%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D%EC%9D%B4%EB%A1%A0-%ED%8C%8C%EC%9D%B4%EC%8D%AC%EC%8B%A4%EC%8A%B5/

https://www.youtube.com/watch?v=DUJ2vwjRQag

https://distill.pub/2016/misread-tsne/

https://www.youtube.com/watch?v=NEaUSP4YerM

https://takuti.me/note/normal-equation/

https://www.youtube.com/watch?v=o4-ZfG_ylZE

L1 and L2 http://www.chioka.in/differences-between-l1-and-l2-as-loss-function-and-regularization/

Stanford CV https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=2&t=0s

수학 블로그 https://darkpgmr.tistory.com/41

PRML http://norman3.github.io/prml/

Graphical Model https://www.coursera.org/specializations/probabilistic-graphical-models

딥러닝 책 https://www.facebook.com/awesomeai/posts/%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D%EB%94%A5%EB%9F%AC%EB%8B%9D-%EB%AC%B4%EB%A3%8C-%EA%B5%90%EA%B3%BC%EC%84%9C-16%EC%A2%85-%EC%98%A8%EB%9D%BC%EC%9D%B8-%EB%B2%84%EC%A0%841-a-brief-introduction-to-neural-networks-david-kriesel/1803925309827212/

http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf

딥러닝 깃허브 https://github.com/ujjwalkarn/Machine-Learning-Tutorials

DS스쿨 https://datascienceschool.net/

그래프 NN https://www.youtube.com/watch?v=cWIeTMklzNg

http://scieng.net/expo/67106

http://fastml.com/math-for-machine-learning/

Gradient Boosting https://en.wikipedia.org/wiki/Gradient_boosting

책

재밌겠다 http://www.yes24.com/Product/Goods/53216394

http://www.yes24.com/Product/Goods/66921291

http://www.yes24.com/Product/Goods/63806536

http://www.yes24.com/Product/Goods/70293566

게임 수학

http://www.yes24.com/Product/Goods/30119802

Andrew Ng

Backpropagation and Cost Function https://yunjey47.tistory.com/22

Error Function을 log로 설정하면 위와같은 결과가 나오는 것이 아니라 Andrew Ng의 결과처럼 나오게됨. 다음 블로그 참조 http://jaejunyoo.blogspot.com/2017/01/backpropagation.html

Video https://www.youtube.com/watch?v=Dws9Zveu9ug

video2 https://www.youtube.com/watch?v=Ilg3gGewQ5U

Siraj

https://www.youtube.com/watch?v=vi7lACKOUao

Curriculum for this video: https://github.com/llSourcell/Learn_D…

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Week 1 - Learn Python

EdX https://www.edx.org/course/introducti…
Siraj Raval https://www.youtube.com/watch?v=T5pRl…

Week 2 - Statistics & Probability

KhanAcademy https://www.khanacademy.org/math/stat…

Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis

EdX https://www.edx.org/course/introducti…

Week 4 - Kaggle Project #1

Week 5-6 - Algorithms & Machine Learning

Columbia https://courses.edx.org/courses/cours…

Week 7 - Deep Learning

Part 1 and 2 of DL Book https://www.deeplearningbook.org/
Siraj Raval https://www.youtube.com/watch?v=vOppz…

Week 8 - Kaggle Project #2

Week 9 - Databases (SQL + NoSQL)

Udacity https://www.udacity.com/course/intro-…
EdX https://www.edx.org/course/introducti…

Week 10 - Hadoop & Map Reduce + Spark

Udacity https://www.udacity.com/course/intro-…
Spark Workshop https://stanford.edu/~rezab/sparkclas…

Week 11 - Data Storytelling

Edx https://www.edx.org/course/analytics-…

Week 12- Kaggle Project #3

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Music

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Etc

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