[情報] ML resources

作者MLLAB (機器學習實驗室)

看板deeplearning

標題[情報] ML resources

時間Sun Mar 4 16:40:39 2018

我看到板主希望有人來發個清單，於是我整理了一下手邊自己看過的或朋友推薦過的資源，主要是一些ML相關的線上課程跟網站，拋磚引玉，給需要的人參考，希望對大家有幫助。台大資工林軒田老師機器學習基石機器學習技法 https://www.csie.ntu.edu.tw/~htlin/mooc/ 台大電機李宏毅老師 machine learning (ML) machine learning and having it deep and structured (MLDS) http://speech.ee.ntu.edu.tw/~tlkagk/courses.html 台大電機李宏毅老師&台大資工陳縕儂老師 applied deep learning x machine learning and having it deep and structured (ADLxMLDS) https://www.csie.ntu.edu.tw/~yvchen/f106-adl/syllabus.html Stanford Andrew Ng Machine Learning https://www.coursera.org/learn/machine-learning University of Oxford Machine Learning https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ David Silver RL course https://goo.gl/BGwF63 Stanford CNN for Visual Recognition http://cs231n.stanford.edu/syllabus.html Ian Goodfellow Deep Learning https://www.youtube.com/playlist?list=PLkISDyMVw2Htm42P0eTVEKyz7scxZ4V-O UIUC Dan Roth Machine Learning https://goo.gl/124noX 交大應數李育杰老師 Machine Learning http://ocw.nctu.edu.tw/course_detail-v.php?bgid=1&gid=1&nid=563 資料科學相關的課程從微積分、線代、機率、統計到機器學習都有 https://goo.gl/mKlq8r CS相關課程 https://www.ptt.cc/bbs/studyabroad/M.1511862466.A.D02.html AI、ML相關conference的deadline https://aideadlin.es/ Paper https://openreview.net/ https://arxiv.org/list/stat.ML/recent https://www.aaai.org/Library/conferences-library.php CV相關paper:http://openaccess.thecvf.com/menu.py GAN相關的paper:https://deephunt.in/the-gan-zoo-79597dc8c347 tensorflow相關資源 tutorials https://www.tensorflow.org/tutorials/ code範例 https://github.com/aymericdamien/TensorFlow-Examples 論壇 https://www.reddit.com/r/MachineLearning/ -- -- ※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 140.113.250.42 ※ 文章網址: https://www.ptt.cc/bbs/deeplearning/M.1520152858.A.59E.html ※ 編輯: MLLAB (140.113.250.42), 03/04/2018 16:45:33

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