머신러닝 무료 강의 총정리 (아이비리그 강의 포함)

 

 

YouTube에서 이용할 수 있는 최신의 머신 러닝 코스의 일부를 소개합니다.

- Andrew Ng CS229 ML (머신러닝): https://lnkd.in/gkDEyuCS
- MIT: Deep Learning for Art (MIT대 예술 관련 딥러닝): https://lnkd.in/grusgt3Z
- Stanford CS230: Deep Learning (스탠포드대 딥러닝): https://lnkd.in/ggXNEX7K
- Practical Deep Learning for Coders (개발자들을 위한 딥러닝) : https://lnkd.in/giHMNrHG, https://lnkd.in/gDtRtHmG
- Stanford CS224W: Machine Learning with Graphs (스탠포드대 그래프로 배우는 머신러닝): https://lnkd.in/grZC_j4N
- Probabilistic Machine Learning (확률적 머신러닝) : https://lnkd.in/gjSpNDCD
- MIT 6.S191: Introduction to Deep Learning (MIT대 딥러닝 개론) : https://lnkd.in/gWtSdkSH
- UC Berkeley CS 182: Deep Learning (UC버클리 딥러닝) : https://lnkd.in/gzHS6m8G
- UC Berkeley Deep Unsupervised Learning (UC버클리 비지도학습 딥러닝) : https://lnkd.in/gPdPbKku
- Yann Lecun's NYU Deep Learning SP21L (뉴욕대 딥러닝) : https://lnkd.in/gdyzmf8b
- Stanford CS25 - Transformers United (스탠포드대 TU): https://lnkd.in/gaZVn3wY

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아래는 주로 자연어처리, 이미지처리 등 심화 딥러닝 관련

- Hugging Face NLP Course (자연어처리): https://lnkd.in/gigfE2Yj
- Stanford CS224N: Natural Language Processing with Deep Learning (스탠포드대 딥러닝): https://lnkd.in/g4fg4_wX
- CMU Neural Nets for NLP: https://lnkd.in/gVpUwtXE
- Stanford CS224U: Natural Language Understanding: https://lnkd.in/gMeGkkzV
- CMU Advanced NLP: https://lnkd.in/gAtrsGqY
- CMU Multilingual NLP: https://lnkd.in/ghbcWftV
- Stanford CS231N: Convolutional Neural Networks for Visual Recognition: https://lnkd.in/g3DeCWEc
- Michigan Deep Learning for Computer Vision: https://lnkd.in/gbdgGgJQ
- AMMI Geometric Deep Learning Course: https://lnkd.in/gYH6Vuum
- UC Berkeley CS 285 Deep Reinforcement Learning: https://lnkd.in/gH-HYdqz
- Intro to Deep Learning and Generative Models: https://lnkd.in/gxuTtkSk
- Stanford CS330: Deep Multi-Task and Meta Learning: https://lnkd.in/gasntdBh