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Two Minute Papers · 发布于 2016年3月2日
I get a lot of messages from you Fellow Scholars that you would like to get started in machine learning and are looking for materials. Below you find a ton of resources to get you started! __________________________ The AI Revolution: The Road to Superintelligence on Wait But Why: http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html Superintelligence by Nick Bostrom: https://en.wikipedia.org/wiki/Superintelligence:_Paths,_Dangers,_Strategies Courses: Welch Labs - https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU Andrew Ng on Coursera - https://class.coursera.org/ml-005/lecture Andrew Ng (YouTube playlist) - https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599 Nando de Freitas (UBC) - https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf Nando de Freitas (Oxford) - https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu Nando de Freitas (more) - https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6 https://www.youtube.com/watch?v=PlhFWT7vAEw&list=PLjK8ddCbDMphIMSXn-w1IjyYpHU3DaUYw One more at Caltech - https://work.caltech.edu/telecourse.html Andrej Karpathy - https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC UC Berkeley - https://www.youtube.com/channel/UCshmLD2MsyqAKBx8ctivb5Q/videos Geoffrey Hinton - https://www.coursera.org/course/neuralnets Machine Learning specialization at Coursera - https://www.coursera.org/specializations/machine-learning MIT - http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/ Mathematicalmonk's course: https://www.youtube.com/watch?v=yDLKJtOVx5c&list=PLD0F06AA0D2E8FFBA&index=0 "Pattern Recognition and Machine Learning" by Christoper Bishop: http://research.microsoft.com/en-us/um/people/cmbishop/prml/ "Algorithms for Reinforcement Learning" by Csaba Szepesvári: http://www.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf A great talk on deep learning libraries: https://www.youtube.com/watch?v=Vf_-OkqbwPo&feature=youtu.be Two great sources to check for new papers: http://gitxiv.com/top http://www.arxiv-sanity.com/top Recent machine learning papers on the arXiv: http://arxiv.org/list/stat.ML/recent The Machine Learning Reddit: http://www.reddit.com/r/MachineLearning/ One more great post on how to get started with machine learning: https://www.quora.com/How-do-I-get-started-in-machine-learning-both-theory-and-programming/answer/Sebastian-Raschka-1 A great blog post on how to get started with Keras: http://swanintelligence.com/first-steps-with-neural-nets-in-keras.html A website with lots of intuitive articles on deep learning: http://neuralnetworksanddeeplearning.com/ A free book on deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: http://www.deeplearningbook.org/ WE'D LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz The thumbnail background image was created by C_osett - https://flic.kr/p/sDTYmm Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/
