AI 교육 콘텐츠 모음

출처 : LG AI 연구원

기초(수학,통계, 트렌드)

[선형대수] KOOC : AI 비전공자를 위한 기초 수학 1: 선형대수학

https://kooc.kaist.ac.kr/mathforai/joinLectures/74606

[선형대수] 3Blue1Brown : Essence of linear algebra

https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

[확률/통계] Seeing Theory : Basic Probability/Compound Probability/Probability Distributions/Frequentist Inference/Basyesian Inference/Regression Analysis

https://seeing-theory.brown.edu/index.html#firstPage

[수학/계산] 3Blue1Brown : Essence of calculus

https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

[확실성 및 추정이론] Havard Univ. : Introduction to Probability

https://pll.harvard.edu/course/introduction-probability-edx?delta=1

프로그래밍&데이터 분석

[프로그래밍/툴] Harvard Univ. : Introduction to Artificial Intelligence with Python

https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0

[빅데이터/데이터분석/데이터마이닝] Harvard Univ. : Data Science: R Basics

https://pll.harvard.edu/course/data-science-r-basics?delta=2

인공지능

[인공지능 기초/특강] Udacity : Intro to Artificial Intelligence

https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

머신러닝

[기계학습] Stanford Coursera: Machine Learning

https://www.coursera.org/learn/machine-learning

[기계학습] Stanford : CS234 Reinforcement(강화학습)

https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u

[기계학습] K-MOOC : 누구나 할 수 있는 AI 머신 러닝 (인하공전 이세훈 교수)

https://new.kmooc.kr/view/course/detail/9437?tm=20240111140106

[기계학습/실습] K-MOOC : 실습으로 배우는 머신러닝 (성신여대 김영훈 교수)

https://new.kmooc.kr/view/course/detail/8063?tm=20240111140628

[기계학습/실습] K-MOOC : 실사례를 통한 머신러닝 알고리즘 구현 실습 (성신여대 윤상덕 교수)

https://new.kmooc.kr/view/course/detail/8065?tm=20240111140724

딥러닝

[심층학습/강화학습/다층학습] Stanford Univ. : Reinforcement Learning

https://web.stanford.edu/class/cs234/

[심층학습/강화학습/다층학습] MIT : Introduction to Deep Learning

http://introtodeeplearning.com/?fbclid=IwAR2lJl7dG7rODvm16HDeLGGMAqc68p0Z3uSBzNqvYM2GPvO8FinJ-mM9Cpk

[컴퓨터 비전/인식/영상] Stanford Univ. : CS231N Convolutional Neural Networks for Visual Recognition (비쥬얼 인식을 위한 CNN)

http://cs231n.stanford.edu/

https://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk

[컴퓨터 비전/인식/영상] Georgia Tech. : Introduction to Computer Vision

https://omscs.gatech.edu/cs-6476-computer-vision

[언어(NLP,NLU,STT)] Stanford Univ. : Natural Langugage Processing Understanding

http://web.stanford.edu/class/cs224u/

[언어(NLP,NLU,STT)] Stanford Univ. : Natural Language Processing with Deep Learning

http://web.stanford.edu/class/cs224n/index.html#schedule

기타

[로봇/로보틱스/자율주행] Stanford Univ. : Introduction to Robotics

https://see.stanford.edu/Course/CS223A

[기타 산업응용(융합)] Stanford Univ. : Computer Science for Business Professionals

https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0

[로봇/로보틱스/자율주행] 세종대학교 : 로보틱스 강의 (곽관웅 교수)

http://www.kocw.net/home/search/kemView.do?kemId=1358399