62,666
edits
Changes
no edit summary
|-
| 1999 || || || "Computer-aided diagnosis catches more cancers. Computers can’t cure cancer (yet), but they can help us diagnose it. The CAD Prototype Intelligent Workstation, developed at the University of Chicago, reviewed 22,000 mammograms and detected cancer 52% more accurately than radiologists did."
|-
| 2001 || || || "Another ensemble model explored by Breiman [12] in 2001 that ensembles multiple decision trees where each of them is curated by a random subset of instances and each node is selected from a random subset of features."<ref name="erogol.comt"/>
|-
| 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>
|-
| 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>
|-
| 2005 || || || " The 3rd rise of NN has begun roughly in 2005 with the conjunction of many different discoveries from past and present by recent mavens Hinton, LeCun, Bengio, Andrew Ng and other valuable older researchers. "<ref name="erogol.comt"/>
|-
| 2006 || || The Netflix Prize || The [[wikipedia:Netflix Prize|Netflix Prize]] competition is launched by [[wikipedia:Netflix|Netflix]]. The aim of the competition was to use machine learning to beat Netflix's own recommendation software's accuracy in predicting a user's rating for a film given their ratings for previous films by at least 10%.<ref>{{cite web|title=The Netflix Prize Rules|url=http://www.netflixprize.com/rules|website=Netflix Prize|publisher=Netflix|accessdate=16 June 2016}}</ref> The prize was won in 2009. "In 2006, Netflix offered $1M to anyone who could beat its algorithm at predicting consumer film ratings. The BellKor team of AT&T scientists took the prize three years later, beating the second-place team by mere minutes"<ref name="cloud.withgoogle.com"/>
