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r/MachineLearning - AMA Geoffrey Hinton
2. Are we any closer to understanding biological models of computation? I think the success of deep learning gives a lot of credibility to the idea that we learn multiple layers of distributed representations using stochastic gradient descent. However, I think we are probably a long way from understanding how the brain does this. Evolution must have found an efficient way to adapt features that ar
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2014/08/26 Machine Learning Casual Talks #2「ã‚ãªãŸã®æ¥å‹™ã«æ©Ÿæ¢°å¦ç¿’を活用ã™ã‚‹5ã¤ã®ãƒã‚¤ãƒ³ãƒˆã€ã®ç™ºè¡¨è³‡æ–™ã§ã™ã€‚ http://mlct.connpass.com/event/8036/ Read less
Java Machine Learning
Are you a Java programmer and looking to get started or practice machine learning? Writing programs that make use of machine learning is the best way to learn machine learning. You can write the algorithms yourself from scratch, but you can make a lot more progress if you leverage an existing open source library. In this post you will discover the major platforms and open source machine learning l
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Machine Learning Casual Talks #1 ã§ç™ºè¡¨ã—ãŸã€Œæ©Ÿæ¢°å¦ç¿’ã®ãƒ†ã‚¹ãƒˆè‡ªå‹•åŒ–コトãƒã‚¸ãƒ¡ã€ç™ºè¡¨è³‡æ–™ã§ã™ã€‚ http://connpass.com/event/6275/
Large Scale Machine Learning
Libs and Papers on Large Scale Machine Learning. Acknowledgement Nash thanks Yin Zhu for providing many useful related libs and papers, thanks Erheng Zhong and Prof. Qiang Yang suggestions and discussions on this list. 2 computing models recently. assumes each data instance can be independently computed. A typical example is hadoop, the map function assumes each data unit can be processed independ
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Machine Learning: The High-Interest Credit Card of Technical Debt
http://www.etcml.com/
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