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MNLP_M2_rag_documents

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https://en.wikipedia.org/wiki/Machine_learning#151
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07. - Nilsson, Nils (1998). Artificial Intelligence: A New Synthesis. Morgan Kaufmann. ISBN 978-1-55860-467-4. Archived from the original on 26 July 2020. Retrieved 18 November 2019. - Poole, David; Mackworth, Alan; Goebel, Randy (1998). Computational Intelligence: A Logical Approach. New York: Oxford University Press. ISBN 978-0-19-510270-3. Archived from the original on 26 July 2020. Retrieved 22 August 2020. - Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approac
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(2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, ISBN 0-13-790395-2. Further reading [edit]- Alpaydin, Ethem (2020). Introduction to Machine Learning, (4th edition) MIT Press, ISBN 9780262043793. - Bishop, Christopher (1995). Neural Networks for Pattern Recognition, Oxford University Press. ISBN 0-19-853864-2. - Bishop, Christopher (2006) Pattern Recognition and Machine Learning, Springer. ISBN 978-0-387-31073-2 - Domingos, Pedro (Sept
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er. ISBN 978-0-387-31073-2 - Domingos, Pedro (September 2015), The Master Algorithm, Basic Books, ISBN 978-0-465-06570-7 - Duda, Richard O.; Hart, Peter E.; Stork, David G. (2001) Pattern classification (2nd edition), Wiley, New York, ISBN 0-471-05669-3. - Hastie, Trevor; Tibshirani, Robert & Friedman, Jerome H. (2009) The Elements of Statistical Learning, Springer. doi:10.1007/978-0-387-84858-7 ISBN 0-387-95284-5. - MacKay, David J. C. Information Theory, Inference, and Learning Algorithms Camb
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on Theory, Inference, and Learning Algorithms Cambridge: Cambridge University Press, 2003. ISBN 0-521-64298-1 - Murphy, Kevin P. (2021). Probabilistic Machine Learning: An Introduction Archived 11 April 2021 at the Wayback Machine, MIT Press. - Nilsson, Nils J. (2015) Introduction to Machine Learning Archived 16 August 2019 at the Wayback Machine. - Russell, Stuart & Norvig, Peter (2020). Artificial Intelligence – A Modern Approach. (4th edition) Pearson, ISBN 978-0134610993. - Solomonoff, Ray,
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Pearson, ISBN 978-0134610993. - Solomonoff, Ray, (1956) An Inductive Inference Machine Archived 26 April 2011 at the Wayback Machine A privately circulated report from the 1956 Dartmouth Summer Research Conference on AI. - Witten, Ian H. & Frank, Eibe (2011). Data Mining: Practical machine learning tools and techniques Morgan Kaufmann, 664pp., ISBN 978-0-12-374856-0. External links [edit]- International Machine Learning Society - mloss is an academic database of open-source machine learning sof
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demic database of open-source machine learning software.
https://en.wikipedia.org/wiki/Baidu#0
Baidu Baidu, Inc. (/ˈbaɪduː/ BY-doo; Chinese: 百度; pinyin: Bǎidù; lit. 'hundred times') is a Chinese multinational technology company specializing in Internet services and artificial intelligence. It holds a dominant position in China's search engine market (via Baidu Search), and provides a wide variety of other internet services such as Baidu App (Baidu's flagship app for search and newsfeed), Baidu Baike (an online user created Wikipedia-like encyclopedia), iQIYI (a video streaming service), a
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ncyclopedia), iQIYI (a video streaming service), and Baidu Tieba (a keyword-based discussion forum similar to Reddit). Besides its core internet search business, Baidu has diversified into several high-growth areas. The company is a leading player in autonomous driving (Baidu Apollo),[3] and smart consumer electronics (Xiaodu).[4] With over a decade of investment in artificial intelligence, Baidu is one of the few tech companies globally to offer a full-service AI stack, including software, chip
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a full-service AI stack, including software, chips, cloud infrastructure, foundation models, and applications.[5] The holding company of the group is incorporated in the Cayman Islands.[2] Baidu was incorporated in January 2000 by Robin Li and Eric Xu. Baidu has origins in RankDex, an earlier search engine developed by Robin Li in 1996, before he founded Baidu in 2000.[6] The company is headquartered in Beijing's Haidian District.[7] In December 2007, Baidu became the first Chinese company to b
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2007, Baidu became the first Chinese company to be included in the NASDAQ-100 index.[8] As of May 2018, Baidu's market cap rose to US$99 billion.[9][10][11] In October 2018, Baidu became the first Chinese firm to join the United States–based computer ethics consortium Partnership on AI.[12] During the 2020s, Baidu has increasingly focused on generative AI related products.[13] The Chinese government views Baidu as one of its national champion corporations.[14]: 156–157 History [edit]Early devel
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rporations.[14]: 156–157 History [edit]Early development [edit]In 1994, Robin Li (Pinyin: Li Yanhong, Chinese: 李彦宏) joined IDD Information Services, a New Jersey division of Dow Jones and Company, where he helped develop software for the online edition of The Wall Street Journal.[15] He also worked on developing better algorithms for search engines and remained at IDD Information Services from May 1994 to June 1997. In 1996, while at IDD, Li developed the RankDex site-scoring algorithm for searc
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loped the RankDex site-scoring algorithm for search engines results page ranking[6][16][17] and received a US patent for the technology.[18] Launched in 1996,[6] RankDex was the first search engine that used hyperlinks to measure the quality of websites it was indexing.[19] Li referred to his search mechanism as "link analysis," which involved ranking the popularity of a web site based on how many other sites had linked to it.[20] It predated the similar PageRank algorithm used by Google two yea
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similar PageRank algorithm used by Google two years later in 1998;[21] Google founder Larry Page referenced Li's work as a citation in some of his U.S. patents for PageRank.[6][21][22] Li later used his RankDex technology for the Baidu search engine. Baidu was incorporated on 18 January 2000 by Robin Li and Eric Xu.[7] In 2001, Baidu allowed advertisers to bid for ad space then pay Baidu every time a customer clicked on an ad, predating Google's approach to advertising.[20] In 2003, Baidu launc
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approach to advertising.[20] In 2003, Baidu launched a news search engine and picture search engine, adopting a special identification technology capable of identifying and grouping the articles.[23] 2005: Public Listing on NASDAQ [edit]Baidu went public on Wall Street through a variable interest entity (VIE) based in the Cayman Islands on 5 August 2005.[24] In 2007, Chinese government and Chinese industry sources stated that Baidu received a license from Beijing, which allows the search engine
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cense from Beijing, which allows the search engine to become a full-fledged news website. Thus Baidu is able to provide its own reports, besides showing certain results as a search engine. Baidu was the first Chinese search engine to receive such a license.[25] Baidu started its Japanese language search service, run by Baidu Japan, the company's first regular service outside of China in 2008.[26] The Japanese search engine closed on 16 March 2015.[27] On 31 July 2012, Baidu announced that it wou
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.[27] On 31 July 2012, Baidu announced that it would team up with Sina to provide mobile search results.[28] On 18 November 2012, Baidu announced that it would be partnering with Qualcomm to offer free cloud storage to Android users with Snapdragon processors.[29] On 2 August 2013, Baidu launched its Personal Assistant app, designed to help CEOs, managers and the white-collar workers manage their business relationships.[30] On 16 May 2014, Baidu appointed Dr. Andrew Ng as chief scientist. Dr. Ng
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appointed Dr. Andrew Ng as chief scientist. Dr. Ng will lead Baidu Research in Silicon Valley and Beijing.[31] On 18 July 2014, the company launched a Brazilian version of the search engine, Baidu Busca.[32] On 9 October 2014, Baidu announced acquisition of Brazilian local e-commerce site Peixe Urbano.[33] 2017: Launch of Autonomous Driving Business [edit]In April 2017, Baidu announced the launch of its Apollo project (Apolong), a self-driving vehicle platform, in a bid to help drive the develop
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hicle platform, in a bid to help drive the development of autonomous cars including vehicle platform, hardware platform, open-source software platform and cloud data services.[34] Baidu plans to launch this project in July 2017, before gradually introducing fully autonomous driving capabilities on highways and open city roads by 2020.[35] In September 2017, Baidu launched a $1.5billion autonomous driving fund to invest in as many as 100 autonomous driving projects over the ensuing three years.[3