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Title: GitHub - devdio/machine-learning: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Open Graph Title: GitHub - devdio/machine-learning: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

X Title: GitHub - devdio/machine-learning: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Description: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study) - devdio/machine-learning

Open Graph Description: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study) - devdio/machine-learning

X Description: 머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study) - devdio/machine-learning

Opengraph URL: https://github.com/devdio/machine-learning

X: @github

direct link

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https://patch-diff.githubusercontent.com/devdio/machine-learning#machine-learning-study-혼자-해보기
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Teddy Leehttps://github.com/teddylee777
🏠https://teddylee777.github.io/
HongJaeKwonhttps://github.com/HongJaeKwon
🏠https://github.com/HongJaeKwon
Seungwoo Hanhttps://github.com/Kaintels
🏠https://github.com/Kaintels
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https://patch-diff.githubusercontent.com/devdio/machine-learning#지식공유-knowledge-sharings
유튜브 채널https://www.youtube.com/channel/UCt2wAAXgm87ACiQnDHQEW6Q
블로그https://teddylee777.github.io/
https://patch-diff.githubusercontent.com/devdio/machine-learning#동영상-강의-묶음-재생목록-video-lectures
생애 첫 코딩 - 파이썬 (김정욱)https://learnaday.kr/open-course/geNpyx
파이썬 강좌 코딩 기초 강의 Python | 김왼손의 왼손코딩https://www.youtube.com/watch?v=c2mpe9Xcp0I&list=PLGPF8gvWLYyrkF85itdBHaOLSVbtdzBww&index=1
딥러닝을 위한 파이썬 - 신경식님https://learnaday.kr/open-course/ZiYShf
NumPy(넘파이) 기본 - T아카데미https://www.youtube.com/watch?v=zNrDbG4tNGo&list=PL9mhQYIlKEhf04ToiDFvNzKL0OP4W27TW
Pandas 기본기 다지기 - T아카데미https://www.youtube.com/watch?v=M_lKmt-wSvY&list=PL9mhQYIlKEhfG_gWF-DclKs6vXS6SkmQN
Pandas로 하는 시계열 데이터분석 - T아카데미https://www.youtube.com/watch?v=oNLaw2Q8Irw&list=PL9mhQYIlKEhd60Qq4r2yC7xYKIhs97FfC
입문자를 위한 파이썬 기초 따라잡기 - 재즐보프https://www.youtube.com/watch?v=BvJhYPQSDLI&list=PLnIaYcDMsScyhT18mwY71rV_aHdP-OhLd
파이썬 데이터 시각화 튜토리얼 - 재즐보프https://www.youtube.com/watch?v=TIjsrH_THhs&list=PLnIaYcDMsScyrZZXH6LTXMrOLXJ-7hznD
선형대수 기초 - 3Blue1Brownhttps://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Mathematical Monk Youtube(영문)https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
딥러닝을 위한 선형대수학 - 올바른 수학교육 연구소https://www.youtube.com/watch?v=4xJOapwJFkg&list=PLi40YkwlJ5DnK4DTM4Fen6oZWiEBtFQe0
딥러닝 수학 강의 - 모두의연구소 Chanwoo Timothy Lee 님https://www.youtube.com/watch?v=E6Dqu4THRu8&list=PLR4XxpTBVXGhnPS8zauclk12WyXotQktG
Best of ML Pythonhttps://github.com/ml-tooling/best-of-ml-python
Machine Learning with Pythonhttps://github.com/tirthajyoti/Machine-Learning-with-Python
Scikit Learn 공식 홈페이지 튜토리얼https://inria.github.io/scikit-learn-mooc/index.html
https://www.youtube.com/watch?v=pqNCD_5r0IUhttps://www.youtube.com/watch?v=pqNCD_5r0IU
Machine Learning by coursera - Andrew Nghttps://www.coursera.org/learn/machine-learning
밑바닥부터 시작하는 머신러닝 - 최성철 교수님(TEAMLAB)https://www.youtube.com/watch?v=1Z-lT4ooSFY&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl
데이터 과학을 위한 파이썬 입문https://www.youtube.com/watch?v=t84jQTwMFuE&list=PLBHVuYlKEkUJcXrgVu-bFx-One095BJ8I
모두를 위한 딥러닝 시즌 1 (Tensorflow) - 김성훈 교수님https://www.youtube.com/watch?v=BS6O0zOGX4E&index=1&list=PLlMkM4tgfjnLSOjrEJN31gZATbcj_MpUm
고등학교 수학만 알면 따라할 수 있는 인공지능, 머신러닝, 딥러닝 - 바람님https://www.youtube.com/watch?v=-JWv0ed9R5g&list=PLsS-TVNjbU7clDOjpAZKud3uG8APHDq_M
딥러닝 홀로서기 - Idea Factory KAISThttps://www.youtube.com/watch?v=hPXeVHdIdmw&list=PLSAJwo7mw8jn8iaXwT4MqLbZnS-LJwnBd
CS231n (영문) - Stanfordhttps://www.youtube.com/watch?v=vT1JzLTH4G4&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk
CS329S: Machine Learning Systems Design (Winter 2021)https://stanford-cs329s.github.io/syllabus.html?fbclid=IwAR0m-M5Q4rgQIgGuQnZv_syF0sBS-A6juHc0WLN5URNBRkMJiTiDda2t_e8
강의영상 링크(유튜브)https://www.youtube.com/channel/UCzz6ructab1U44QPI3HpZEQ
캐글실습으로 배우는 데이터사이언스 - 오늘코드https://www.inflearn.com/course/%EB%8D%B0%EC%9D%B4%ED%84%B0-%EC%82%AC%EC%9D%B4%EC%96%B8%EC%8A%A4-kaggle
청와대 국민청원 데이터로 파이썬 자연어처리 입문하기 - 오늘코드https://www.youtube.com/watch?v=9QW7QL8fvv0&list=PLaTc2c6yEwmrtV81ehjOI0Y8Y-HR6GN78
Deep Learning by GOOGLE - Udacityhttps://www.udacity.com/course/deep-learning--ud730
DEEP LEARNING, Spring 2020 - NYU CENTER FOR DATA SCIENCEhttps://atcold.github.io/pytorch-Deep-Learning/
테리의 딥러닝 토크https://www.youtube.com/playlist?list=PL0oFI08O71gKEXITQ7OG2SCCXkrtid7Fq
TensorFlow2 강의 - Shin's Labhttps://www.youtube.com/watch?v=-MIH2wNfylo&list=PLtm_YtKTtDkQJtgGSQnZzMJBRHyqANnQi
Pytorch Zero To All (영문) - 김성훈 교수님https://youtu.be/SKq-pmkekTk
모두를 위한 RL강좌 - 김성훈 교수님https://www.youtube.com/playlist?list=PLlMkM4tgfjnKsCWav-Z2F-MMFRx-2gMGG
논문으로 시작하는 딥러닝 - 최성준님https://www.edwith.org/deeplearningchoi
https://patch-diff.githubusercontent.com/devdio/machine-learning#주제별-by-subjects
수학 (Mathmatics)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%88%98%ED%95%99-mathmatics
통계 (Statistics)https://patch-diff.githubusercontent.com/devdio/machine-learning#%ED%86%B5%EA%B3%84-statistics
머신러닝 (Machine Learning)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D-machine-learning
딥러닝 (Deep Learning)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%94%A5%EB%9F%AC%EB%8B%9D-deep-learning
최적화 & AutoML (Optimization-AutoML)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%B5%9C%EC%A0%81%ED%99%94--AutoML-optimization--automl
메타러닝 (Meta Learning)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%A9%94%ED%83%80%EB%9F%AC%EB%8B%9D-meta-learning
액티브러닝 (Active Learning)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%95%A1%ED%8B%B0%EB%B8%8C%EB%9F%AC%EB%8B%9D-active-learning
연합학습 (Federated learning)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%97%B0%ED%95%A9%ED%95%99%EC%8A%B5-federated-learning
시각화 (Visualization)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%8B%9C%EA%B0%81%ED%99%94-visualization
캐글 & 데이콘https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%BA%90%EA%B8%80--%EB%8D%B0%EC%9D%B4%EC%BD%98
블로그 (Blogs)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%B8%94%EB%A1%9C%EA%B7%B8-blogs
깃헙 저장소 (GitHub)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EA%B9%83%ED%97%99-%EC%A0%80%EC%9E%A5%EC%86%8C-github
웹사이트 (Web Sites)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%9B%B9%EC%82%AC%EC%9D%B4%ED%8A%B8-web-sites
위키독스 (Wiki Docs)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%9C%84%ED%82%A4%EB%8F%85%EC%8A%A4-wiki-docs
유튜브 채널 (YouTube Channel)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%9C%A0%ED%8A%9C%EB%B8%8C-%EC%B1%84%EB%84%90-youtube-channel
논문 읽기 (YouTube)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%85%BC%EB%AC%B8-%EC%9D%BD%EA%B8%B0-youtube
데이터 사이언티스트 스토리 (Data Scientist Story)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%8D%B0%EC%9D%B4%ED%84%B0-%EC%82%AC%EC%9D%B4%EC%96%B8%ED%8B%B0%EC%8A%A4%ED%8A%B8-%EC%8A%A4%ED%86%A0%EB%A6%AC-data-scientist-story
페이스북 그룹 (Facebook Groups)https://patch-diff.githubusercontent.com/devdio/machine-learning#%ED%8E%98%EC%9D%B4%EC%8A%A4%EB%B6%81-%EA%B7%B8%EB%A3%B9-facebook-groups
라이브러리 (Library)https://patch-diff.githubusercontent.com/devdio/machine-learning#%EB%9D%BC%EC%9D%B4%EB%B8%8C%EB%9F%AC%EB%A6%AC-library
오픈데이터https://patch-diff.githubusercontent.com/devdio/machine-learning#%EC%98%A4%ED%94%88%EB%8D%B0%EC%9D%B4%ED%84%B0
텐서플로우 자격증https://patch-diff.githubusercontent.com/devdio/machine-learning#%ED%85%90%EC%84%9C%ED%94%8C%EB%A1%9C%EC%9A%B0-%EC%9E%90%EA%B2%A9%EC%A6%9D
기타https://patch-diff.githubusercontent.com/devdio/machine-learning#%EA%B8%B0%ED%83%80
https://patch-diff.githubusercontent.com/devdio/machine-learning#수학-mathmatics
머신러닝, 딥러닝을 위한 기초 수학 - 테디노트https://www.youtube.com/watch?v=vS51prw_yfw
수학 기호 - 리브레 위키https://librewiki.net/wiki/%EC%88%98%ED%95%99_%EA%B8%B0%ED%98%B8
자연상수 e가 필요한 이유 - 공돌이의 수학정리노트https://www.youtube.com/watch?v=_EY8QUKWrhc
What is ln (Natural Logarithm) - Arnold Tutoringhttps://www.youtube.com/watch?v=e7Yfub7xlDg
미분과 편미분(Ordinary Derivative & Partial Derivative) | 인공지능 및 컴퓨터 비전을 위한 수학 핵심 개념노트(Mathematics for AI) - 동빈나님https://www.youtube.com/watch?v=tQHw2EovIOM&list=PLRx0vPvlEmdAWjA5INMVJoqea18RQyUOk&index=4
머신러닝/딥러닝 수학 입문 2강 - 미분 | T아카데미https://www.youtube.com/watch?v=JQe7S-gOElk&list=PL9mhQYIlKEhewXqJaTy_wd5emhDwW6JU6&index=3
쌍곡선 함수란? (hyperbolic functions) - 만만한수학TV(이상준 교수님)https://www.youtube.com/watch?v=3DvmUlAIPaw
컴퓨터가 두 데이터(이미지 혹은 자연어)의 유사성을 측정하는 방법: 유클리드 거리, 코사인 유사도 - 동빈나님https://www.youtube.com/watch?v=EGEQutnxjDU&list=PLRx0vPvlEmdAWjA5INMVJoqea18RQyUOk&index=5
머신러닝/딥러닝 수학 입문 4강 - 선형대수 | T아카데미https://www.youtube.com/watch?v=0PhFyQyii7Q&list=PL9mhQYIlKEhewXqJaTy_wd5emhDwW6JU6&index=5
그래핑 계산기 - Desmoshttps://www.desmos.com/calculator?lang=ko
https://patch-diff.githubusercontent.com/devdio/machine-learning#통계-statistics
손으로 푸는 확률분포 - 통계의 본질 EOStatisticshttps://www.youtube.com/watch?v=1Kj0_2nrWLo&list=PLmljWRabIwWDCLjAMfTPigyTe-jtsLca1
경영통계분석 - 이상철 교수님https://www.youtube.com/watch?v=ZdvXXBLIBnw&list=PLEUKy_nwlzwHhkGKF7l3lWxqYKTjnnv5M
제대로 시작하는 기초 통계학 - 노경섭님https://www.youtube.com/watch?v=SCMyqKSuKeI&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG
통계 공식과 개념들 한번에 총정리 해드립니다. (이산확률분포, 이항분포, 연속확률분포, 확률밀도함수, 표준정규분포, 표준화공식, 임의추출, 표본평균, 통계적추정, 모평균의추정) - 알고리즘성남학원https://www.youtube.com/watch?v=CQA7cdxozHY
P-값(p-value)는 무엇인가? - Sapientia a Dei님https://www.youtube.com/watch?v=5Xke4ao1g9E
P-Value - 김성범 교수님https://www.youtube.com/watch?v=tpow70KGTYY&list=PLpIPLT0Pf7IoTxTCi2MEQ94MZnHaxrP0j&index=4
가설검정 (미리 알고 학습하면 훨씬 편해요.) - 노경섭님https://www.youtube.com/watch?v=qkEOVNUnnTw&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=28
가설검정 (가설검정과 유의수준) - 노경섭님https://www.youtube.com/watch?v=zcfMEcN1srY
귀무가설 vs. 대립가설 중 하나를 선택하기 위한 증거, p-value - Data Scientist이지영님https://www.youtube.com/watch?v=TEsXCUozAsE
확률분포1(확률분포, 균등분포, 정규분포, 표준정규분포) - 노경섭님https://www.youtube.com/watch?v=tfvTTF4JidQ&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=19
확률분포2(이항분포, 베르누이시행, 베르누이분포, 이항분포의 확률계산) - 노경섭님https://www.youtube.com/watch?v=dk2d5--IBTQ&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=20
확률분포3(포아송 분포, 푸아송 분포, 람다 변화에 따른 곡선의 변화 확인) - 노경섭님https://www.youtube.com/watch?v=S1ztukK-PkM&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=21
정규분포 (Normal Distribution) - 김성범 교수님https://www.youtube.com/watch?v=sGTWFCq5OKM
일양분포 (Uniform Distribution) - 김성범 교수님https://www.youtube.com/watch?v=6xonZUbFSZ8
신뢰구간 정확하게 이해하기 - Data Scientist이지영님https://www.youtube.com/watch?v=8m5_UOqBTR4
추정 (점추정, 구간추정, 신뢰구간) - 노경섭님https://www.youtube.com/watch?v=ozC2vKZhd04&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=24
추정 (모평균의 구간추정, 표본의 크기결정) - 노경섭님https://www.youtube.com/watch?v=PoWiyZVgjBg&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=25
추정 (모집단 비율 및 모집단 분산의 구간추정) - 노경섭님https://www.youtube.com/watch?v=E4MuAveSQb4&list=PLsri7w6p16vs-rMb1uXHfh3FiCk2WjEUG&index=26
Bayes theorem - 3Blue1Brownhttps://www.youtube.com/watch?v=HZGCoVF3YvM
푸리에 변환이 대체 뭘까요? 그려서 보여드리겠습니다. - 3Blue1Brownhttps://www.youtube.com/watch?v=spUNpyF58BY
[Signal processing] EMD (Empricial mode decomposition): 경험적 모드 분해법https://neosla.tistory.com/34
시계열 분석 이론의 기초https://yamalab.tistory.com/112
https://patch-diff.githubusercontent.com/devdio/machine-learning#머신러닝-machine-learning
경사 하강, 신경 네트워크가 학습하는 방법 | 심층 학습, 2장 - 3Blue1Brownhttps://www.youtube.com/watch?v=IHZwWFHWa-w
경사하강법 기본 개념 (수학편) - 테디노트https://www.youtube.com/watch?v=GEdLNvPIbiM
경사하강법 파이썬 코드로 구현 - 테디노트https://youtu.be/KgH3ZWmMxLE
경사법 이해 - 바람님https://www.youtube.com/watch?v=P4L3IntRwrc
Yes you should understand backprophttps://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b
Stanford - CS231n - Introduction to Neural Networkshttps://www.youtube.com/watch?v=d14TUNcbn1k&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=4
Stanford - CS231n - Backpropagation(한글설명) - Kyoseok Song님https://www.youtube.com/watch?v=qtINaHvngm8
오차역전파의 이해 - 테디노트https://youtu.be/1Q_etC_GHHk
신경망의 역전파 - Chanwoo Timothy Lee님https://www.youtube.com/watch?v=fhrORKjjU7w
인공지능을 위한 머신러닝 알고리즘 7강 역전파 - TAcademyhttps://www.youtube.com/watch?v=kHUvoNX8fsE
Stanford - CS231n - Loss Functions and Optimizationhttps://www.youtube.com/watch?v=h7iBpEHGVNc&index=3&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk
최소제곱법 증명 - 테디노트https://www.youtube.com/watch?v=-oBmMED_5rI
Least Squares Estimators 증명 - jbstatisticshttps://www.youtube.com/watch?v=ewnc1cXJmGA
최소자승법 - Least Squares Criterion Part 1 - patrickJMThttps://www.youtube.com/watch?v=0T0z8d0_aY4
최소자승법 - Least Squares Criterion Part 2 - patrickJMThttps://www.youtube.com/watch?v=1C3olrs1CUw
머신러닝의 기초 - 선형 회귀 한 번에 제대로 이해하기 (30분만 투자해봐요!) - 동빈나https://www.youtube.com/watch?v=ve6gtpZV83E
회귀분석 증명 - 최소자승법(Least Square Method)으로 모수 추정하기 - Data Scientist이지영님https://www.youtube.com/watch?v=F-JjAoXZxf0
Linear Regression(선형회귀) 이해하기 - 허민석님https://www.youtube.com/watch?v=MwadQ74iE-k&list=PLTjDXCqLsHZcnBBYcXhg-juYX-25iRusr
선형과 비선형의 차이 - 허민석님https://www.youtube.com/watch?v=umiqnfQxlac
머신러닝/딥러닝 수학 입문 5강 - 회귀분석 (Regression) | T아카데미https://www.youtube.com/watch?v=ukGvbDYCIxc&list=PL9mhQYIlKEhewXqJaTy_wd5emhDwW6JU6&index=6
머신러닝/딥러닝 수학 입문 6강 - L1/L2 정규화 (Regulaization) | T아카데미https://www.youtube.com/watch?v=01qqdvP0sdU&list=PL9mhQYIlKEhewXqJaTy_wd5emhDwW6JU6&index=7
Norm (L1, L2) - 허민석 님https://www.youtube.com/watch?v=yoD5tQ1HQRU
정규화 모델2 - LASSO, Elastic Net - 김성범 교수님https://www.youtube.com/watch?v=sGTWFCq5OKM
SVM 모델 (1) - 김성범 교수님https://www.youtube.com/watch?v=qFg8cDnqYCI&list=PLpIPLT0Pf7IoTxTCi2MEQ94MZnHaxrP0j&index=9
SVM 모델 (2) - 김성범 교수님https://www.youtube.com/watch?v=ltjhyLkHMls&list=PLpIPLT0Pf7IoTxTCi2MEQ94MZnHaxrP0j&index=8
kNN(k-Nearest Neighbors) 최근접 이웃 알고리즘 - 허민석님https://www.youtube.com/watch?v=CyuI2F_wJWw
로지스틱회귀모델 1 (로지스틱함수, 승산) - 김성범 교수님https://www.youtube.com/watch?v=l_8XEj2_9rk
로지스틱회귀모델 2 (파라미터 추정, 해석) - 김성범 교수님https://www.youtube.com/watch?v=Vh_7QttroGM
의사결정나무모델 1 (모델개요, 예측나무) - 김성범 교수님https://www.youtube.com/watch?v=xki7zQDf74I
의사결정트리 (Decision Tree) 알고리즘 쉽게 이해하기 - 허민석님https://www.youtube.com/watch?v=n0p0120Gxqk
PCA 차원 축소 알고리즘 및 파이썬 구현 - 허민석 님https://www.youtube.com/watch?v=DUJ2vwjRQag
Principal Component Analysis (PCA, 주성분 분석) - 김성범 교수님https://www.youtube.com/watch?v=FhQm2Tc8Kic
군집분석 개론 - 김성범 교수님https://www.youtube.com/watch?v=8zB-_LrAraw&list=PLpIPLT0Pf7IoTxTCi2MEQ94MZnHaxrP0j
https://patch-diff.githubusercontent.com/devdio/machine-learning#딥러닝-deep-learning
신경망이란 무엇인가? | 1장.딥러닝에 관하여 - 3Blue1Brownhttps://www.youtube.com/watch?v=aircAruvnKk
가중치 초기화https://nittaku.tistory.com/269
Stanford - CS231n - Convolution Neural Networkshttps://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=5
CNN의 효율성: Stride와 MaxPooling - 혁펜하임님https://youtu.be/sPf0iaOzYaY
ML lab11-1: TensorFlow CNN Basics - 김성훈 교수님https://www.youtube.com/watch?v=E9Xh_fc9KnQ
Stanford - CS231n - Recurrent Neural Networkshttps://www.youtube.com/watch?v=6niqTuYFZLQ&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=10
Programming LSTM with Keras and TensorFlowhttps://www.youtube.com/watch?v=UnclHXZszpw&t=572s
RNN 기초 (순환신경망 - Vanilla RNN) - 허민석님https://youtu.be/PahF2hZM6cs
LSTM 쉽게 이해하기 - 허민석님https://youtu.be/bX6GLbpw-A4
(CS231n 한글설명) RNN, LSTM - 송교석님https://youtu.be/2ngo9-YCxzY
1시간만에 GAN 완전 정복하기 - 네이버 D2https://www.youtube.com/watch?v=odpjk7_tGY0
GAN: Generative Adversarial Networks (꼼꼼한 딥러닝 논문 리뷰와 코드 실습) - 동빈나님https://www.youtube.com/watch?v=AVvlDmhHgC4
Basic of GAN - 딥러닝 홀로서기 by Idea Factory KAISThttps://www.youtube.com/watch?v=LeMnE1TIil4
DC GAN - 딥러닝 홀로서기 by Idea Factory KAISThttps://www.youtube.com/watch?v=JOjMk-E1CnQ&list=PLSAJwo7mw8jn8iaXwT4MqLbZnS-LJwnBd
DC GAN 논문 이해하기 - YBIGTAhttps://www.youtube.com/watch?v=7btUjE2y4NA
Finding connections among images using CycleGAN - naver d2https://www.youtube.com/watch?v=Fkqf3dS9Cqw
머신러닝/딥러닝 강의 - 016 CycleGAN 한방에 끝내기 - hanyoseob님https://www.youtube.com/watch?v=zAVCeF5cFNc
강화학습 - 김성훈 교수님https://www.youtube.com/watch?v=dZ4vw6v3LcA&feature=youtu.be
강화학습(영문) - 데이비드 실버 교수님https://www.davidsilver.uk/teaching/
강화학습 개론(10강) - 팡요랩https://www.youtube.com/watch?v=wYgyiCEkwC8&list=PLpRS2w0xWHTcTZyyX8LMmtbcMXpd3s4TU
쉽게구현하는 강화학습(2강) - 팡요랩https://www.youtube.com/watch?v=12pXaP8KPbE&list=PLpRS2w0xWHTdpMdpzuQf-w1QmCVrE2leJ
강화학습 입문하기(season 1) - T아카데미https://www.youtube.com/watch?v=NrcePTbqNb4&list=PL9mhQYIlKEhfMzkhV1gsIU8cZLeEUAbLR
강화학습 입문하기(policy gradient) - T아카데미https://www.youtube.com/watch?v=irxj7ThyASk&list=PL9mhQYIlKEhc-n4vu4cWChTaNMi0mwYn4
Object Detection(객체 탐지) - Deeplearning.aihttps://www.youtube.com/watch?v=GSwYGkTfOKk&list=PL_IHmaMAvkVxdDOBRg2CbcJBq9SY7ZUvs
Semantic Segmentation (의미론적 분할) - UNet 케라스 구현https://github.com/zhixuhao/unet
Self-Driving Car (자율주행) - source code of all the projects of Udacity Self-Driving Car Engineer Nanodegreehttps://github.com/ndrplz/self-driving-car
딥러닝을 이용한 자연어 처리 - 조경현 교수님https://www.edwith.org/deepnlp
Stanford - Natural Language Processing with Deep Learninghttps://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
트랜스포머(어텐션 이즈 올 유 니드) - 허민석님https://youtu.be/mxGCEWOxfe8
Transformer: Attention Is All You Need (꼼꼼한 딥러닝 논문 리뷰와 코드 실습) - 동빈나님https://www.youtube.com/watch?v=AA621UofTUA
(CS231n 한글설명) Attention - 송교석님https://youtu.be/Bmx2S1dSAV0
시퀀스 투 시퀀스 + 어텐션 모델 - 허민석님https://youtu.be/WsQLdu2JMgI
Seq2Seq: Sequence to Sequence Learning with Neural Networks - 동빈나님https://www.youtube.com/watch?v=4DzKM0vgG1Y
자연어 언어모델 "BERT"https://www.youtube.com/watch?v=qlxrXX5uBoU&list=PL9mhQYIlKEhcIxjmLgm9X5BUtW5jMLbZD
자연어 처리 특강 - 텐초https://www.youtube.com/playlist?list=PLgD4RfwkG2A5fNsi7PyhWCiIz5zU2Q6Z0
딥러닝 기반 음성인식 기초 - T아카데미https://www.youtube.com/watch?v=YiW7aOTZFQQ&list=PL9mhQYIlKEhdrYpsGk8X4qj3tQUuaDhrl
Improving Deep Neural Networks: Hyperparameter Tuninghttps://www.youtube.com/watch?v=1waHlpKiNyY&list=PLkDaE6sCZn6Hn0vK8co82zjQtt3T2Nkqc&index=1
Why Does Batch Norm Work? (Batch Norm이 좋은 이유) - Andrew Ng교수님https://www.youtube.com/watch?v=nUUqwaxLnWs
Adam Optimization Algorithm - Andrew Ng교수님https://www.youtube.com/watch?v=JXQT_vxqwIs
https://patch-diff.githubusercontent.com/devdio/machine-learning#최적화--automl-optimization--automl
최단 경로 검색 인공지능 feat.유전알고리즘, TSPhttps://www.youtube.com/watch?v=H8beAqbiWZw
[ML] 베이지안 최적화 (Bayesian Optimization)https://wooono.tistory.com/102
Hyperband 논문 설명https://pod3275.github.io/paper/2019/05/23/Hyperband.html
NASnet 설명https://www.secmem.org/blog/2019/07/19/Network-Architecture-Search/
ENAS 설명https://jayhey.github.io/deep%20learning/2018/03/15/ENAS/
PNAS 설명https://m.blog.naver.com/PostView.nhn?blogId=za_bc&logNo=221576139392&proxyReferer=https:%2F%2Fwww.google.com%2F
https://patch-diff.githubusercontent.com/devdio/machine-learning#메타러닝-meta-learning
Meta-Learning: Learning to Learn Fast 설명https://talkingaboutme.tistory.com/entry/DL-Meta-Learning-Learning-to-Learn-Fast
Meta Reinforcement Learning 설명https://talkingaboutme.tistory.com/entry/RL-Meta-Reinforcement-Learning
https://patch-diff.githubusercontent.com/devdio/machine-learning#액티브러닝-active-learning
Active Learning 이란 - 기본https://kmhana.tistory.com/4
https://patch-diff.githubusercontent.com/devdio/machine-learning#연합학습-federated-learning
연합 학습(Federated Learning), 그리고 챌린지https://medium.com/curg/%EC%97%B0%ED%95%A9-%ED%95%99%EC%8A%B5-federated-learning-%EA%B7%B8%EB%A6%AC%EA%B3%A0-%EC%B1%8C%EB%A6%B0%EC%A7%80-b5c481bd94b7
https://patch-diff.githubusercontent.com/devdio/machine-learning#시각화-visualization
대화형 웹 시각화 Bokeh - 재즐보프https://www.youtube.com/watch?v=XbfQNJrIXZc
https://patch-diff.githubusercontent.com/devdio/machine-learning#기타-others
머신러닝 시스템 디자인 패턴 - mecarihttps://mercari.github.io/ml-system-design-pattern/README_ko.html
Azure 머신러닝 - 퇴근후딴짓https://www.youtube.com/watch?v=MIBPJV8krXM&list=PLSlDi2AkDv83W0Js_cjxlIg-CGKNi4VUX
RDBMS와 SQL 맛보기 - T아카데미https://www.youtube.com/watch?v=DeaJVvdIBFg&list=PL9mhQYIlKEheGuumYb91mCiRRpOFjErZd
페이스북 Prophet으로 삼성전자 주가 예측하기! (시계열 데이터 예측) - 테디노트https://www.youtube.com/watch?v=Sm-YBPUe3qU
시계열 데이터 분석#1: 페이스북 Prophet, 빠른시작 - 퇴근후딴짓https://www.youtube.com/watch?v=teD60NOLQL0
시계열 데이터 분석#2: 페이스북 Prophet, Saturating Forecasts - 퇴근후딴짓https://www.youtube.com/watch?v=BcmyGFNl3GA
시계열 데이터 분석#3: 페이스북 Prophet, Trend Change points - 퇴근후딴짓https://www.youtube.com/watch?v=LPd2WRJFxjU
https://patch-diff.githubusercontent.com/devdio/machine-learning#캐글--데이콘
https://patch-diff.githubusercontent.com/devdio/machine-learning#캐글이-처음이라면
Hello Kaggle! - stevekwon211 님https://github.com/stevekwon211/Hello-Kaggle-KOR
인공지능 분야 천상계 대한민국 단 4명 뿐인 캐글 그랜드 마스터 인터뷰https://www.youtube.com/watch?v=tu6b3xbTj6M
Pytorch Tutorial for Deep Learning Lovers ,DATAIhttps://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers
Conditional Generative Adversarial Network ,Arpan Dhatthttps://www.kaggle.com/arpandhatt/conditional-generative-adversarial-network
Pytorch Animal Face Classification - CNNs, Mehmet -lauda- Tekmanhttps://www.kaggle.com/mehmetlaudatekman/pytorch-animal-face-classification-cnns
Overview of Basic GAN Architecture - Seungwon Songhttps://www.kaggle.com/songseungwon/overview-of-basic-gan-architecture
Generate Fashion Images with Conditional GAN - Seungwon Songhttps://www.kaggle.com/songseungwon/generate-fashion-images-with-conditional-gan
[Train] SIIM COVID-19 Detection: 🔥FasterRCNN🔥 - Heroseohttps://www.kaggle.com/piantic/train-siim-covid-19-detection-fasterrcnn
Yolo v3 Object Detection in Tensorflow - heartkillahttps://www.kaggle.com/aruchomu/yolo-v3-object-detection-in-tensorflow
SIIM COVID-19 Detection 🔱 10+Step Tutorial (1) - Seungwon Songhttps://www.kaggle.com/songseungwon/siim-covid-19-detection-10-step-tutorial-1
Beginner to Intermediate Natural Language Processing Guide - NowYSMhttps://www.kaggle.com/ashishpatel26/beginner-to-intermediate-nlp-tutorial
Deep Learning NLP Quora Solutions - NowYSMhttps://www.kaggle.com/ashishpatel26/deep-learning-nlp-quora-solutions
NLP Quick Start for Newbie😁 with 9steps - Seungwon Songhttps://www.kaggle.com/songseungwon/nlp-quick-start-for-newbie-with-9steps
Getting staRted in R: First Steps - Rachael Tatmanhttps://www.kaggle.com/rtatman/getting-started-in-r-first-steps
Getting staRted in R: Load Data Into R - Rachael Tatmanhttps://www.kaggle.com/rtatman/getting-started-in-r-load-data-into-r
Getting staRted in R: Summarize Data - Rachael Tatmanhttps://www.kaggle.com/rtatman/getting-started-in-r-summarize-data
Getting staRted in R: Graphing Data - Rachael Tatmanhttps://www.kaggle.com/rtatman/getting-started-in-r-graphing-data/
Welcome to Data Science in R - Rachael Tatmanhttps://www.kaggle.com/rtatman/welcome-to-data-science-in-r
https://patch-diff.githubusercontent.com/devdio/machine-learning#강의--강연
정형데이터 분석 노하우 - T아카데미https://www.youtube.com/watch?v=9NKGaJxcrsM&list=PL9mhQYIlKEhcaivg3ltnx3DS49AAIc3qv
Deep Learning Practitioner의 캐글 2회 참가기 - 김일두 (Kakao) 님https://www.youtube.com/watch?v=zNzAAStE66o
Feature Engineering Techniques - Chris Deottehttps://www.kaggle.com/c/ieee-fraud-detection/discussion/108575
https://patch-diff.githubusercontent.com/devdio/machine-learning#캐글--데이콘-대회-분류
Titanic: Machine Learning from Disasterhttps://www.kaggle.com/c/titanic
Bike Sharing Demandhttps://www.kaggle.com/c/bike-sharing-demand
Home Credit Default Riskhttps://www.kaggle.com/c/home-credit-default-risk/overview/evaluation
House Prices: Advanced Regression Techniquehttps://www.kaggle.com/c/house-prices-advanced-regression-techniques
Digit Recognizerhttps://www.kaggle.com/c/digit-recognizer
Facial Keypoints Detectionhttps://www.kaggle.com/c/facial-keypoints-detection
Dogs vs. Catshttps://www.kaggle.com/c/dogs-vs-cats
Right Whale Recognitionhttps://www.kaggle.com/c/noaa-right-whale-recognition
Intel & MobileODT Cervical Cancer Screeninghttps://www.kaggle.com/c/intel-mobileodt-cervical-cancer-screening
Web Traffic Time Series Forecastinghttps://www.kaggle.com/c/web-traffic-time-series-forecasting
Recruit Restaurant Visitor Forecastinghttps://www.kaggle.com/c/recruit-restaurant-visitor-forecasting
Corporación Favorita Grocery Sales Forecastinghttps://www.kaggle.com/c/favorita-grocery-sales-forecasting
Rossmann Store Saleshttps://www.kaggle.com/c/rossmann-store-sales
TensorFlow Speech Recognition Challengehttps://www.kaggle.com/c/tensorflow-speech-recognition-challenge
https://patch-diff.githubusercontent.com/devdio/machine-learning#블로그-blogs
테디노트https://teddylee777.github.io/
생새우초밥집https://freshrimpsushi.tistory.com/
데이터 사이언스 스쿨https://datascienceschool.net/
공돌이의 수학정리노트https://angeloyeo.github.io/2020/01/09/Bayes_rule.html
텐서 플로우 블로그https://tensorflow.blog/
파이썬 킴http://pythonkim.tistory.com/notice/25
안수빈님의 블로그https://subinium.github.io/
LOVIT X DATA SCIENCE 블로그https://lovit.github.io/
Google - Tensorflow Get Started (영문)https://www.tensorflow.org/tutorials/
Laon People - Machine Learninghttps://laonple.blog.me/221196685472
ratsgo's bloghttps://ratsgo.github.io/blog/categories/#natural-language-processing
수아랩 이호성님 블로그https://hoya012.github.io/
매주 한편씩 글을 작성하는 자연어처리 블로그 - 위클리 NLPhttps://jiho-ml.com/
한국어 임베딩 깃험https://ratsgo.github.io/embedding/
추천 시스템 - 알고리즘 트렌드 정리https://hoondongkim.blogspot.com/2019/03/recommendation-trend.html
Team AI Koreahttp://aikorea.org/blog/
AI Dev - 인공지능 개발자 모임http://aidev.co.kr/
TensorFlow 한글 문서https://tensorflowkorea.gitbooks.io/tensorflow-kr/content/
Agustinus Kristiadi's Blog (영문)https://wiseodd.github.io/page5/
Colah's Blog (영문)http://colah.github.io/
강화학습 정리 - 오태호님https://teamdable.github.io/techblog/Reinforcement-Learning
https://patch-diff.githubusercontent.com/devdio/machine-learning#깃헙-저장소-github
스탠포드 강의 한글 번역 repo - AIKorea.orghttps://github.com/aikorea/cs231n
Machine Learning with Pythonhttps://github.com/tirthajyoti/Machine-Learning-with-Python
pytorch-tutorialhttps://github.com/yunjey/pytorch-tutorial
Deep Learning (with PyTorch) by Atcoldhttps://github.com/Atcold/pytorch-Deep-Learning
TensorFlow Example Source Codehttps://github.com/aymericdamien/TensorFlow-Examples
텐서플로우 공식 깃헙(한글)https://github.com/tensorflow/docs-l10n/tree/master/site/ko
최성준님의 깃헙https://github.com/sjchoi86
Tensorflow2.0 Tutorial - 허민석님https://github.com/minsuk-heo/tf2
Learning Python A.I Framework - jjerry-khttps://github.com/jjerry-k/learning_framework?fbclid=IwAR385K6J4Mgp3FsWfvCFaU6JMgOldoSadJo9iJLunSNghutOWJMOncrtCk4
Best of ML Pythonhttps://github.com/ml-tooling/best-of-ml-python
김성훈 교수님 - Deep Learning Zero To Allhttps://github.com/hunkim/DeepLearningZeroToAll
deepLearningOpenLecture - 바람님https://github.com/eventia/deepLearningOpenLecture
한국어 임베딩 깃험https://github.com/ratsgo/embedding
텐서플로2와 머신러닝으로 시작하는 자연어처리https://github.com/NLP-kr/tensorflow-ml-nlp-tf2
자연어 처리 실무 깃헙 - 김웅곤님https://github.com/kimwoonggon/publicservant_AI
국민은행 - KB-ALBERT-KOhttps://github.com/KB-Bank-AI/KB-ALBERT-KO
카카오 Khaiii 형태소 분석기https://github.com/kakao/khaiii
한글 자연어처리 기법 모음https://colab.research.google.com/drive/1FfhWsP9izQcuVl06P30r5cCxELA1ciVE?usp=sharing
Text Analysis - 고려대 DSBA 강필성 교수님https://github.com/pilsung-kang/Text-Analytics
TTS - mozillahttps://github.com/mozilla/TTS
자연어처리 종합선물세트 aka.뽀로로 - 카카오브레인https://github.com/kakaobrain/pororo
Vision 처리 관련 튜토리얼 깃헙https://github.com/nh9k/Computer-vision
생체신호처리 관련 튜토리얼 깃헙https://github.com/biosignalsplux/biosignalsnotebooks
Keras GANhttps://github.com/osh/KerasGAN
Keras-DCGANhttps://github.com/jacobgil/keras-dcgan
Keras-WGANhttps://github.com/tonyabracadabra/WGAN-in-Keras
미술관에 GAN 딥러닝https://github.com/rickiepark/GDL_code
Gan ZOOhttps://github.com/hindupuravinash/the-gan-zoo
terryum - awesome-deep-learning-papershttps://github.com/terryum/awesome-deep-learning-papers
파이썬 코딩의 기술 (Effective Python) - 길벗출판사https://github.com/gilbutITbook/006764
Pandas, Numpy, Visualization - Python Data Science Handbook 튜토리얼https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb
Python Data Science Handbookhttps://github.com/jakevdp/PythonDataScienceHandbook
모두의 딥러닝 개정2판 - 길벗출판사https://github.com/gilbutITbook/080228
머신러닝을 다루는 기술 with 파이썬, 사이킷런 (2020)https://github.com/gilbutITbook/007017
핸즈온 머신러닝https://github.com/rickiepark/handson-ml
파이썬 머신러닝 완벽가이드https://github.com/wikibook/ml-definitive-guide
Reinforcement Learning-2ndEdition by Sutton Exercise Solutionshttps://github.com/LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
파이썬 딥러닝 텐서플로https://github.com/lovedlim/tensorflow
데이콘 경진대회 1등 솔루션https://github.com/wikibook/dacon
https://patch-diff.githubusercontent.com/devdio/machine-learning#웹사이트-web-sites
머신러닝 용어집https://developers.google.com/machine-learning/glossary/?hl=ko
10 minutes to pandashttps://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html
20 minutes to matplotlibhttps://www.tutorialdocs.com/article/python-matplotlib-tutorial.html
각 종 CheatSheet 모음https://graspcoding.com/cheat-sheet-for-python-machine-learning-and-data-science/
Paper With Codehttps://paperswithcode.com/
Codetorialhttps://codetorial.net/?i=1
Keras Exampleshttps://keras.io/examples/
자연어처리 100제https://nlp100.github.io/ko/
자연어(NLP) 처리 기초 정리http://hero4earth.com/blog/learning/2018/01/17/NLP_Basics_01/
Machine Learning Mastery(영문)https://machinelearningmastery.com/
Deep Notehttps://deepnote.com/
OpenAI Spinning Uphttps://spinningup.openai.com/en/latest/
GUI for TensorFlowhttps://www.perceptilabs.com/home
arXiv - 논문저장소https://arxiv.org/
arXiv sanityhttps://arxiv.org/
PyTorch 입문코스 5개https://docs.microsoft.com/en-us/learn/browse/?terms=pytorch
https://patch-diff.githubusercontent.com/devdio/machine-learning#위키독스-wiki-docs
Dive into Deep Learninghttps://ko.d2l.ai/
점프 투 파이썬https://wikidocs.net/book/1
초보자를 위한 파이썬 300제https://wikidocs.net/book/922
Machine Learning 강의노트https://wikidocs.net/book/587
PyTorch로 시작하는 딥 러닝 입문https://wikidocs.net/book/2788
딥러닝을 이용한 자연어 처리 입문https://wikidocs.net/book/2155
딥 러닝을 이용한 자연어 처리 심화https://wikidocs.net/book/2159
파이썬으로 배우는 알고리즘 트레이딩https://wikidocs.net/book/110
빅데이터 - 하둡, 하이브로 시작하기https://wikidocs.net/book/2203
빅데이터 - 스칼라(scala), 스파크(spark)로 시작하기https://wikidocs.net/book/2350
https://patch-diff.githubusercontent.com/devdio/machine-learning#유튜브-채널-youtube-channel
SKPlanet TAcademyhttps://www.youtube.com/channel/UCtV98yyffjUORQRGTuLHomw
빵형의 개발도상국https://www.youtube.com/channel/UC9PB9nKYqKEx_N3KM-JVTpg
한요섭님 - 딥러닝https://www.youtube.com/channel/UCpujNlw4SUpgTU5rrDXH0Jw
이유한님 - 캐글https://www.youtube.com/channel/UC--LgKcZVgffjsxudoXg5pQ
허민석님 - Minsuk Heohttps://www.youtube.com/channel/UCxP77kNgVfiiG6CXZ5WMuAQ
공돌이의 수학정리노트https://www.youtube.com/user/AngeloYeo/
혁펜하임https://www.youtube.com/channel/UCcbPAIfCa4q0x7x8yFXmBag
퇴근후딴짓https://www.youtube.com/channel/UCs7pXreQXz30-ENLsnorqdA
테디노트https://www.youtube.com/channel/UCt2wAAXgm87ACiQnDHQEW6Q
StatQuest with Josh Starmerhttps://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw
Venelin Valkovhttps://www.youtube.com/c/VenelinValkovBG/featured
sentdexhttps://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ
통계의 본질 EOStatisticshttps://www.youtube.com/channel/UCVrs4KiLQz_gvVWWK1pKR1g
https://patch-diff.githubusercontent.com/devdio/machine-learning#논문-읽기-youtube
딥러닝 논문 읽기 PR12-season1https://www.youtube.com/watch?v=auKdde7Anr8&list=PLWKf9beHi3Tg50UoyTe6rIm20sVQOH1br
딥러닝 논문 읽기 PR12-season2https://www.youtube.com/watch?v=FfBp6xJqZVA&list=PLWKf9beHi3TgstcIn8K6dI_85_ppAxzB8
딥러닝 논문 읽기 PR12-season3https://www.youtube.com/watch?v=D-baIgejA4M&list=PL_skMddDjnzq1wDI3t2cH9hlK6wBBapeA
딥러닝 논문 읽기 모임https://www.youtube.com/channel/UCDULrK2OJsiDhFroa2Aj_LQ
https://patch-diff.githubusercontent.com/devdio/machine-learning#데이터-사이언티스트-스토리-data-scientist-story
머신러닝, 딥러닝, 빅데이터가 도대체 뭐야? ft. 스탠포드 박사 - 코딩하는 테크보이 워니https://www.youtube.com/watch?v=-tmypCjhfkE
인공지능 (머신러닝) 직장 취업 어떻게 해요? ft. 스탠포드 박사 - 코딩하는 테크보이 워니https://www.youtube.com/watch?v=PX4Kzoxdbgo
비전공자가 데이터사이언티스트로 취업할 수 있는지, 취업 팁 - Data Scientist이지영님https://www.youtube.com/watch?v=7vk_cRUCk38&list=PLfi-4a2tMaHSPJ_a1m6lTgOCDQgNF945G
데이터 사이언티스트 연봉, 휴가 이직에 대해 - Data Scientist이지영님https://www.youtube.com/watch?v=3ue7nxqd7Ak&list=PLfi-4a2tMaHSPJ_a1m6lTgOCDQgNF945G&index=3
3년차 데이터과학자가 말하는 이 일이란? - Data Scientist이지영님https://www.youtube.com/watch?v=-I8r_efiROU&list=PLfi-4a2tMaHSPJ_a1m6lTgOCDQgNF945G&index=2
데이터 사이언티스트 & 머신러닝 엔지니어? 현직자가 모두 알려준다!(ft.자연어 처리10년) - 터닝포인트TP, 취업 전문 유튜브https://www.youtube.com/watch?v=ykkBHGrBGPQ
데이터 사이언티스트 연봉? 취업 전망? 10년차 엔지니어가 다 알려줌!! - 터닝포인트TP, 취업 전문 유튜브https://www.youtube.com/watch?v=xBmycYVOO3Y
머신러닝과 데이터사이언티스트 진로? 학벌? 야근? 10년차 전문가가 모두 답변해드립니다!! - 터닝포인트TP, 취업 전문 유튜브https://www.youtube.com/watch?v=nnHv8P21et8
머신러닝, 딥러닝, 인공지능, 데이터 분석 대학원 고민하고 계세요? - 딥러닝호형 DL brohttps://www.youtube.com/watch?v=APS1bLYBUjg
데이터 사이언스를 공부하고 싶은 분들을 위한 글https://github.com/Team-Neighborhood/I-want-to-study-Data-Science
https://patch-diff.githubusercontent.com/devdio/machine-learning#페이스북-그룹-facebook-groups
TensorFlow Koreahttps://www.facebook.com/groups/TensorFlowKR/?ref=bookmarks
PyTorch KRhttps://www.facebook.com/groups/PyTorchKR/
Kaggle Koreahttps://www.facebook.com/groups/KaggleKoreaOpenGroup/
Recommender System KRhttps://www.facebook.com/groups/2611614312273351/
A.I. Lookbookhttps://www.facebook.com/AI.Lookbook/
AI Koreahttps://www.facebook.com/groups/AIKoreaOpen/
Reinforcement Learning KRhttps://www.facebook.com/groups/ReinforcementLearningKR/
통계분석연구회https://www.facebook.com/groups/statsas
GNN KRhttps://www.facebook.com/groups/2190093671090112/
https://patch-diff.githubusercontent.com/devdio/machine-learning#라이브러리-library
Tensorflowhttps://www.tensorflow.org/?hl=ko
PyTorchhttps://pytorch.org/
Scikit-learnhttps://scikit-learn.org/stable/
BindsNEThttps://github.com/BindsNET/bindsnet
NengoDLhttps://github.com/nengo/nengo-dl
HpBandsterhttps://github.com/automl/HpBandSter
https://patch-diff.githubusercontent.com/devdio/machine-learning#오픈데이터
Papers with Code|Datasetshttps://paperswithcode.com/datasets
공공데이터포털https://www.data.go.kr/
Open Data Inceptionhttps://opendatainception.io/
AI Hubhttp://www.aihub.or.kr/
Appenhttps://appen.com/resources/datasets/
오픈데이터를 모아 놓은 깃헙https://github.com/awesomedata/awesome-public-datasets
VisualData - Vision 관련 데이터셋https://www.visualdata.io/
한국데이터거래소http://lab.kdx.kr/adl/contest/main.php
Korpora: Korean Corpora Archives - 한글 자연어처리 관련 데이터셋https://github.com/ko-nlp/Korpora
KorQuAD2.0 - 한글 질문답변 데이터셋https://korquad.github.io/
모두의말뭉치 - 국립국어원https://corpus.korean.go.kr/
Microsoft Azure Datasethttps://azure.microsoft.com/ko-kr/services/open-datasets/catalog/
PhysioNet 의료 오픈데이터셋https://physionet.org/about/database/
https://patch-diff.githubusercontent.com/devdio/machine-learning#텐서플로우-자격증
텐서플로우 자격증 취득 과정https://learnaday.kr/open-course/tfcert
https://patch-diff.githubusercontent.com/devdio/machine-learning#기타
Kaggle 도커에 기반한 딥러닝 서버 구축(한글 자연어처리 패키지 추가)https://github.com/teddylee777/docker-kaggle-ko
docker-kaggle-ko 도커 허브https://hub.docker.com/repository/docker/teddylee777/docker-kaggle-ko
Udacity: Dog Breed Image Classifier in Pytorchhttps://github.com/teddylee777/machine-learning
TED: Big Data playlist (한국어 자막 지원)https://www.ted.com/playlists/56/making_sense_of_too_much_data
Readme https://patch-diff.githubusercontent.com/devdio/machine-learning#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/devdio/machine-learning
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https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
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Docshttps://docs.github.com/
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