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Timeline of machine learning

182 bytes added, 12:43, 25 February 2020
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| 2002 || || Torch Machine Learning Library || [[wikipedia:Torch (machine learning)|Torch]], a software library for machine learning, is first released.<ref>{{cite journal|last1=Collobert|first1=Ronan|last2=Benigo|first2=Samy|last3=Mariethoz|first3=Johnny|title=Torch: a modular machine learning software library|date=30 October 2002|url=http://www.idiap.ch/ftp/reports/2002/rr02-46.pdf|accessdate=5 June 2016}}</ref>
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| 2002 (October) || || Software release || {{w|Torch (machine learning)}} is first released.
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| 2004 || || || "The second is the decrease in the cost of parallel computing and memory. This trend was discovered in 2004 when Google unveiled its MapReduce technology"<ref name="medium.comw">{{cite web |title=History of deep machine learning |url=https://medium.com/mindsync-ai/history-of-deep-machine-learning-1842dc3a4507 |website=medium.com |accessdate=21 February 2020}}</ref>
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| 2015 (November 30) || || || {{w|Rnn (software)}} is released.
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| 2016 (January 25) || || {{w|Microsoft Cognitive Toolkit}} is initially released.
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| 2016 || || || "Google’s artificial intelligence algorithm beats a professional player at the Chinese board game Go, which is considered the world’s most complex board game and is many times harder than chess. The AlphaGo algorithm developed by Google DeepMind managed to win five games out of five in the Go competition."<ref name="forbes.com"/> "AlphaGo beat the world's number second player Lee sedol at Go game. In 2017 it beat the number one player of this game Ke Jie."<ref name="javatpoint.comu"/>
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