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| awards = [[IJCAI Computers and Thought Award]] (2009)
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'''Andrew Yan-Tak Ng''' ({{zh|t=吳恩達}}; born 1976) is a [[Chinese]]-[[British]]-[[American]] [[computer scientist]], executive, investor, and [[Entrepreneurship|entrepreneur]] who has made major contributions to [[artificial intelligence]], [[deep learning]], and [[machine learning]]. Ng co-founded and led [[Google Brain]] and was a former VP & Chief Scientist at [[Baidu]], building the company's Artificial Intelligence Group into a team of several thousand people. He is an [[adjunct professor]] at [[Stanford University]] (formerly associate professor and Director of the AI Lab). Ng is also a pioneer in [[online education]] and co-founded [[Coursera]] and [[deeplearning.ai]].<ref>{{Cite web|url=https://www.coursera.org/instructor/andrewng|title=Andrew Ng&nbsp;— Stanford University {{!}} Coursera|last=|first=|date=|website=Coursera|access-date=2017-08-29}}</ref> Since 2018 he launched and currently heads [https://aifund.ai/ AI Fund], initially a $175-million investment fund for backing artificial intelligence startups.
'''Andrew Yan-Tak Ng''' ({{zh|t=吳恩達}}; born 1976) is a [[Chinese]]-[[British]]-[[American]] [[computer scientist]], executive, investor, and [[Entrepreneurship|entrepreneur]] who has made major contributions to [[artificial intelligence]], [[deep learning]], [[robotics]], and [[machine learning]]. Ng co-founded and led [[Google Brain]] and was a former [[Vice president (corporate title)|Vice President]] and Chief Scientist at [[Baidu]], building the company's Artificial Intelligence Group into a team of several thousand people.
He is an [[adjunct professor]] at [[Stanford University]] (formerly associate professor and Director of the [[Stanford AI Lab|AI Lab]]). Ng is also a pioneer in [[online education]] and co-founded [[Coursera]] and [https://www.deeplearning.ai/ deeplearning.ai].<ref>{{Cite web|url=https://www.coursera.org/instructor/andrewng|title=Andrew Ng&nbsp;— Stanford University {{!}} Coursera|last=|first=|date=|website=Coursera|access-date=2017-08-29}}</ref> Since 2018 he launched and currently heads [https://aifund.ai/ AI Fund], initially a $175-million investment fund for backing artificial intelligence startups.


==Biography==
==Biography==
Ng was born in London in the UK in 1976. His parents were both from [[Hong Kong]]. He spent time in Hong Kong and [[Singapore]] and later graduated from [[Raffles Institution]] in [[Singapore]] in 1992.<ref name="sfgate" /> In 1997, he earned his undergraduate degree with a triple major in computer science, [[statistics]], and [[economics]] at the top of his class from [[Carnegie Mellon University]] in [[Pittsburgh]], [[Pennsylvania]].
Ng was born in [[London]], [[United Kingdom|UK]] in 1976. His parents are both immigrants from [[Hong Kong]]. Growing up, he spent time in Hong Kong and [[Singapore]] and later graduated from [[Raffles Institution]] in [[Singapore]] in 1992.<ref name="sfgate" /> In 1997, he earned his undergraduate degree with a triple major in computer science, [[statistics]], and [[economics]] at the top of his class from [[Carnegie Mellon University]] in [[Pittsburgh]], [[Pennsylvania]].


Ng earned his [[master's degree]] from the [[Massachusetts Institute of Technology]] in [[Cambridge, Massachusetts]] in 1998 and received his [[Doctor of Philosophy|PhD]] from the [[University of California, Berkeley]] in 2002.
Ng earned his [[master's degree]] from the [[Massachusetts Institute of Technology]] in [[Cambridge, Massachusetts]] in 1998 and received his [[Doctor of Philosophy|PhD]] from the [[University of California, Berkeley]] in 2002 under the supervision of [[Michael I. Jordan|Michael Jordan]]. His Ph.D thesis is titled "Shaping and policy search in [[reinforcement learning]]."<ref name=":0">{{Cite web|url=https://ai.stanford.edu/~ang/curriculum-vitae.pdf|title=Cirriculum Vitae--Andrew Y. Ng|last=Ng|first=Andrew|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref><ref>{{Cite web|url=http://rail.eecs.berkeley.edu/deeprlcourse-fa17/docs/ng-thesis.pdf|title=Shaping and policy search in Reinforcement Learning|last=Ng|first=Andrew|date=2003|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref>


He started working at [[Stanford University]] in 2002.
He started working at [[Stanford University]] in 2002.


He currently lives in [[Los Altos Hills]], [[California]]. He married [[Carol E. Reiley]] in 2014 and they had their first child, Nova, in February 2019.<ref>{{Cite web|url=http://www.huffingtonpost.com/2015/05/13/andrew-ng_n_7267682.html|title=Inside The Mind That Built Google Brain: On Life, Creativity, And Failure|last=|first=|date=2015-05-13|website=|publisher=The Huffington Post|accessdate=2015-12-19}}</ref><ref>{{Cite web|url=https://twitter.com/AndrewYNg/status/1098331008544399360|title=Announcing Nova Ng, our first daughter. Plus, some thoughts on the AI-powered world she will grow up in: https://medium.com/@andrewng/nova-ng-38c9fb2883bb …pic.twitter.com/LmlnN81QtP|last=Ng|first=Andrew|date=2019-02-20|website=@AndrewYNg|language=en|access-date=2019-03-07}}</ref> [[MIT Tech Review]] named them an "AI power couple".<ref>{{cite news| url=https://twitter.com/AndrewYNg/status/804739157935276032}}</ref>
He currently lives in [[Los Altos Hills]], [[California]]. In 2004, he married [[Carol E. Reiley]] and in February 2019 they had their first child, Nova.<ref>{{Cite web|url=http://www.huffingtonpost.com/2015/05/13/andrew-ng_n_7267682.html|title=Inside The Mind That Built Google Brain: On Life, Creativity, And Failure|last=|first=|date=2015-05-13|website=|publisher=The Huffington Post|accessdate=2015-12-19}}</ref><ref>{{Cite web|url=https://twitter.com/AndrewYNg/status/1098331008544399360|title=Announcing Nova Ng, our first daughter. Plus, some thoughts on the AI-powered world she will grow up in: https://medium.com/@andrewng/nova-ng-38c9fb2883bb …pic.twitter.com/LmlnN81QtP|last=Ng|first=Andrew|date=2019-02-20|website=@AndrewYNg|language=en|access-date=2019-03-07}}</ref> [[MIT Tech Review]] named Ng and Reiley an "AI power couple."<ref>{{cite news| url=https://twitter.com/AndrewYNg/status/804739157935276032}}</ref>


== Career ==
== Career ==
Line 48: Line 50:


== Research ==
== Research ==
Ng researches primarily in [[machine learning]] and [[deep learning]] and is one of the world's most famous computer scientists.<ref>{{cite news| url=https://www.businessinsider.com/andrew-ng-ai-artificial-intelligence-playbook-2018-12 | work=Business Insider | year=2018 | title=One of the world's most famous computer scientists reveals his 'playbook' for bringing AI to every business}}</ref> His early work includes the Stanford Autonomous Helicopter project, which developed one of the most capable autonomous helicopters in the world,<ref>{{cite news| url=http://chronicle.com/article/From-Self-Flying-Helicopters/134666/| work=Chronicle of Higher Education | year=2012 | title=From Self-Flying Helicopters to Classrooms of the Future}}</ref><ref>{{cite web |url=http://heli.stanford.edu |title=Stanford Autonomous Helicopter Project}}</ref> and the STAIR (STanford Artificial Intelligence Robot) project,<ref>{{cite news|url=https://www.nytimes.com/2006/07/18/technology/18brain.html | newspaper=New York Times | author=John Markoff | title= Brainy Robots Start Stepping Into Daily Life | date=18 July 2006}}</ref> which resulted in [[ROS (Robot Operating System)|ROS]], a widely used [[open source software|open-source]] robotics software platform.
Ng researches primarily in [[machine learning]] and [[deep learning]] and is one of the world's most famous and influential computer scientists.<ref>{{cite news| url=https://www.businessinsider.com/andrew-ng-ai-artificial-intelligence-playbook-2018-12 | work=Business Insider | year=2018 | title=One of the world's most famous computer scientists reveals his 'playbook' for bringing AI to every business}}</ref>
His early work includes the Stanford Autonomous Helicopter project, which developed one of the most capable autonomous helicopters in the world.<ref>{{cite news| url=http://chronicle.com/article/From-Self-Flying-Helicopters/134666/| work=Chronicle of Higher Education | year=2012 | title=From Self-Flying Helicopters to Classrooms of the Future}}</ref><ref>{{cite web |url=http://heli.stanford.edu |title=Stanford Autonomous Helicopter Project}}</ref> He also worked on the the STAIR (STanford Artificial Intelligence Robot) project,<ref>{{cite news|url=https://www.nytimes.com/2006/07/18/technology/18brain.html | newspaper=New York Times | author=John Markoff | title= Brainy Robots Start Stepping Into Daily Life | date=18 July 2006}}</ref> which resulted in [[ROS (Robot Operating System)|ROS]], a widely used [[open source software|open-source]] [[robotics]] software platform. He is also one of the founding team members for the Stanford WordNet project, which uses machine learning to expand the [[Princeton University|Princeton]] [[WordNet]] database created by [[Christiane Fellbaum]].<ref>{{Cite web|url=http://ai.stanford.edu/~rion/swn/|title=The Stanford Wordnet Project|website=ai.stanford.edu|access-date=2019-04-17}}</ref><ref name=":0" />


In 2011, Ng founded the [[Google Brain]] project at [[Google]], which developed large scale artificial [[neural network]]s using [[Google]]'s distributed computer infrastructure.<ref>{{cite news
In 2011, Ng founded the [[Google Brain]] project at [[Google]], which developed large scale artificial [[neural network]]s using [[Google]]'s distributed computer infrastructure.<ref>{{cite news
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== Online education ==
== Online education ==
{{external media | width = 210px | align = right | audio1 = [http://degreeoffreedom.org/interview-with-coursera-co-founder-andrew-ng/ Interview with Coursera Co-Founder Andrew Ng], Degree of Freedom<ref name="doff">{{cite web | title =Interview with Coursera Co-Founder Andrew Ng | work = | publisher =Degree of Freedom | date = | url =http://degreeoffreedom.org/interview-with-coursera-co-founder-andrew-ng/ | accessdate =May 19, 2013 }}</ref> }}
{{external media | width = 210px | align = right | audio1 = [http://degreeoffreedom.org/interview-with-coursera-co-founder-andrew-ng/ Interview with Coursera Co-Founder Andrew Ng], Degree of Freedom<ref name="doff">{{cite web | title =Interview with Coursera Co-Founder Andrew Ng | work = | publisher =Degree of Freedom | date = | url =http://degreeoffreedom.org/interview-with-coursera-co-founder-andrew-ng/ | accessdate =May 19, 2013 }}</ref> }}
Ng started the [[Stanford Engineering Everywhere]] (SEE) program, which in 2008 published a number of Stanford courses online for free. Ng taught one of these courses, "Machine Learning", which includes his video lectures by him, along with the student materials used in the Stanford CS229 class.
Ng started the [[Stanford Engineering Everywhere]] (SEE) program, which in 2008 published a number of Stanford courses online for free. Ng taught one of these courses, "Machine Learning", which includes his video lectures, along with the student materials used in the Stanford CS229 class.


The "applied" version of the Stanford class (CS229a) was hosted on [http://ml-class.org ml-class.org] and started in October 2011, with over 100,000 students registered for its first iteration; the course featured quizzes and graded programming assignments and became one of the first successful [[Massive open online course|MOOC]]s made by Stanford professors.<ref>{{cite news |url=http://alumni.stanford.edu/get/page/magazine/article/?article_id=55991 | work=Stanford Magazine | author = Theresa Johnson | title = Stanford for All}}</ref> His work subsequently led to the founding of [[Coursera]] in 2012. His courses hold the top two most popular courses on the platform: Machine Learning (#1), Neural Networks and Deep Learning (#2).<ref>{{Cite web|url=https://thepienews.com/news/online-learning-takes-a-tech-turn/|title=Online learning took a tech turn in 2017 - Coursera's most popular courses|last=News|first=The PIE|website=thepienews.com|language=en|access-date=2018-12-14}}</ref><ref>{{Cite web|url=https://blog.coursera.org/year-review-10-popular-courses-2017/|title=Year in Review: 10 Most Popular Courses in 2017|date=2017-12-14|website=Coursera Blog|language=en-US|access-date=2018-12-14}}</ref>
The "applied" version of the Stanford class (CS229a) was hosted on [http://ml-class.org ml-class.org] and launched in October 2011, with over 100,000 students registered for its first edition. The course featured quizzes and graded programming assignments and became one of the first and most successful [[Massive open online course|MOOC]]s created by a Stanford professor.<ref>{{cite news |url=http://alumni.stanford.edu/get/page/magazine/article/?article_id=55991 | work=Stanford Magazine | author = Theresa Johnson | title = Stanford for All}}</ref> His work subsequently led to his founding of [[Coursera]] in 2012. As of 2019, the two most popular courses on the platform were taught and designed by Ng: "Machine Learning" (#1), "Neural Networks and Deep Learning" (#2).<ref>{{Cite web|url=https://thepienews.com/news/online-learning-takes-a-tech-turn/|title=Online learning took a tech turn in 2017 - Coursera's most popular courses|last=News|first=The PIE|website=thepienews.com|language=en|access-date=2018-12-14}}</ref><ref>{{Cite web|url=https://blog.coursera.org/year-review-10-popular-courses-2017/|title=Year in Review: 10 Most Popular Courses in 2017|date=2017-12-14|website=Coursera Blog|language=en-US|access-date=2018-12-14}}</ref>


Ng announced a new course "AI for Everyone" which will be available on Coursera in early 2019 to help people understand AI's impact on society and how companies can navigate through this technological change.<ref>{{Cite web|url=https://medium.com/@andrewng/announcing-ai-for-everyone-a-new-course-from-deeplearning-ai-44b609c042f|title=Announcing "AI for Everyone": a new course from deeplearning.ai|last=Ng|first=Andrew|date=2018-11-14|website=Medium|access-date=2018-12-14}}</ref> This is a non-technical course through deeplearning.ai exploring the benefits/limitations of AI to your company and its societal impacts.
In 2019, Ng launched a new course "AI for Everyone." This is a non-technical designed to help people understand AI's impact on society and its benefits and costs for companies, as well as how they can navigate through this [[technological revolution]].<ref>{{Cite web|url=https://medium.com/@andrewng/announcing-ai-for-everyone-a-new-course-from-deeplearning-ai-44b609c042f|title=Announcing "AI for Everyone": a new course from deeplearning.ai|last=Ng|first=Andrew|date=2018-11-14|website=Medium|access-date=2018-12-14}}</ref>


== Publications and awards ==
== Publications and awards ==
Ng is also the author or co-author of over 300 published papers in machine learning, robotics, and related fields.<ref>{{Cite web|url=https://scholar.google.com/citations?user=mG4imMEAAAAJ&oi=sra|title=Andrew Ng - Google Scholar Citations|website=scholar.google.com|access-date=2018-12-14}}</ref>
Ng is also the author or co-author of over 300 published papers in machine learning, [[robotics]], and related fields.<ref>{{Cite web|url=https://scholar.google.com/citations?user=mG4imMEAAAAJ&oi=sra|title=Andrew Ng - Google Scholar Citations|website=scholar.google.com|access-date=2018-12-14}}</ref> His work in [[computer vision]] and [[deep learning]] has been frequently featured in press releases and reviews.<ref>[http://news.stanford.edu/news/2005/december7/robotsee-120705.html New algorithm improves robot vision]</ref>
. His work in [[computer vision]] and [[deep learning]] has been frequently featured in press releases and reviews.<ref>[http://news.stanford.edu/news/2005/december7/robotsee-120705.html New algorithm improves robot vision]</ref>


*2007. [[Sloan Fellowship]]
*2007. [[Sloan Fellowship]]
Line 92: Line 95:
*2015. [[List of Young Global Leaders|World Economics Forum Young Global Leaders]]
*2015. [[List of Young Global Leaders|World Economics Forum Young Global Leaders]]


== Awards and Honors ==
<br />
==See also==
==See also==
* [[Robot Operating System]]
* [[Robot Operating System]]
* [[Latent Dirichlet allocation]]
* [[Latent Dirichlet allocation]]
*Follow [https://twitter.com/AndrewYNg?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor Andrew Ng on Twitter]
*[https://www.quora.com/profile/Andrew-Ng Ng's Quora profile]
*[https://www.quora.com/profile/Andrew-Ng Ng's Medium blog]
*[https://ai.stanford.edu/~ang/curriculum-vitae.pdf Curriculum Vitae]
*[https://www.coursera.org/ Coursera.org]
*[[Google Brain]]


==References==
==References==

Revision as of 01:36, 17 April 2019

Andrew Ng
吳恩達 (traditional)
吴恩达 (simplified)
ng4 jan1 daat6(jyutping)
Wú Ēndá (pinyin)
Born
Andrew Yan-Tak Ng

(1976-04-18) April 18, 1976 (age 48)[1]
United Kingdom[1]
Alma materCarnegie Mellon University,
Massachusetts Institute of Technology,
University of California, Berkeley
Known forDeep Learning, MOOC
SpouseCarol E. Reiley
AwardsIJCAI Computers and Thought Award (2009)
Scientific career
FieldsArtificial intelligence (machine learning)
InstitutionsCo-founder of Coursera
Baidu Research
Stanford University
ThesisShaping and Policy Search in Reinforcement Learning (2003)
Doctoral advisorMichael I. Jordan
WebsiteStanford University — Andrew Ng

Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese-British-American computer scientist, executive, investor, and entrepreneur who has made major contributions to artificial intelligence, deep learning, robotics, and machine learning. Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people.

He is an adjunct professor at Stanford University (formerly associate professor and Director of the AI Lab). Ng is also a pioneer in online education and co-founded Coursera and deeplearning.ai.[2] Since 2018 he launched and currently heads AI Fund, initially a $175-million investment fund for backing artificial intelligence startups.

Biography

Ng was born in London, UK in 1976. His parents are both immigrants from Hong Kong. Growing up, he spent time in Hong Kong and Singapore and later graduated from Raffles Institution in Singapore in 1992.[1] In 1997, he earned his undergraduate degree with a triple major in computer science, statistics, and economics at the top of his class from Carnegie Mellon University in Pittsburgh, Pennsylvania.

Ng earned his master's degree from the Massachusetts Institute of Technology in Cambridge, Massachusetts in 1998 and received his PhD from the University of California, Berkeley in 2002 under the supervision of Michael Jordan. His Ph.D thesis is titled "Shaping and policy search in reinforcement learning."[3][4]

He started working at Stanford University in 2002.

He currently lives in Los Altos Hills, California. In 2004, he married Carol E. Reiley and in February 2019 they had their first child, Nova.[5][6] MIT Tech Review named Ng and Reiley an "AI power couple."[7]

Career

Ng is a professor at Stanford University Department of Computer Science and Department of Electrical Engineering. He became Director of the Stanford Artificial Intelligence Lab, where he taught students and undertook research related to data mining and machine learning. His deep learning course CS229 at Stanford is one of the most popular course offered on campus with over 1000 students enrolling some years.[8]

From 2011 to 2012, he worked at Google, where he founded and directed the Google Brain Deep Learning Project.

In 2012, he co-founded and was CEO of Coursera, a website that offers free online courses to everyone. It took off since over 100,000 students registered for Ng's popular CS229 course.[9] Today, several million people have enrolled in Coursera courses, making the site one of the leading MOOC's in the world.

In 2014, he joined Baidu as Chief Scientist, and carried out research related to big data and A.I.[10] In March 2017, he announced his resignation from Baidu.[11]

He soon afterwards launched Deeplearning.ai, an online series of deep learning courses.[12] Then Ng launched Landing.ai, bringing AI to manufacturing factories.[13] Landing.ai's first public partnership was with FoxConn.[14]

In November 2017, Ng was the keynote speaker at AI Frontiers Conference.

In January 2018, Ng unveiled the AI Fund, raising $175 million to invest in new startups.[15] He is also the chairman of Woebot and on the board of drive.ai.[16][17]

He also wrote a book "Machine Learning Yearning", a practical guide for those interested in machine learning, which he distributed for free.[18] In December 2018, he wrote a sequel called "AI Transformation Playbook".[19]

Research

Ng researches primarily in machine learning and deep learning and is one of the world's most famous and influential computer scientists.[20]

His early work includes the Stanford Autonomous Helicopter project, which developed one of the most capable autonomous helicopters in the world.[21][22] He also worked on the the STAIR (STanford Artificial Intelligence Robot) project,[23] which resulted in ROS, a widely used open-source robotics software platform. He is also one of the founding team members for the Stanford WordNet project, which uses machine learning to expand the Princeton WordNet database created by Christiane Fellbaum.[24][3]

In 2011, Ng founded the Google Brain project at Google, which developed large scale artificial neural networks using Google's distributed computer infrastructure.[25] Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores, which learned to recognize cats after watching only YouTube videos, and without ever having been told what a "cat" is.[26][27] The project's technology is also currently used in the Android Operating System's speech recognition system.[28]

He together with David M. Blei and Michael I. Jordan, coauthored the influential paper that introduced Latent Dirichlet allocation.[29]

Online education

External audio
audio icon Interview with Coursera Co-Founder Andrew Ng, Degree of Freedom[30]

Ng started the Stanford Engineering Everywhere (SEE) program, which in 2008 published a number of Stanford courses online for free. Ng taught one of these courses, "Machine Learning", which includes his video lectures, along with the student materials used in the Stanford CS229 class.

The "applied" version of the Stanford class (CS229a) was hosted on ml-class.org and launched in October 2011, with over 100,000 students registered for its first edition. The course featured quizzes and graded programming assignments and became one of the first and most successful MOOCs created by a Stanford professor.[31] His work subsequently led to his founding of Coursera in 2012. As of 2019, the two most popular courses on the platform were taught and designed by Ng: "Machine Learning" (#1), "Neural Networks and Deep Learning" (#2).[32][33]

In 2019, Ng launched a new course "AI for Everyone." This is a non-technical designed to help people understand AI's impact on society and its benefits and costs for companies, as well as how they can navigate through this technological revolution.[34]

Publications and awards

Ng is also the author or co-author of over 300 published papers in machine learning, robotics, and related fields.[35] His work in computer vision and deep learning has been frequently featured in press releases and reviews.[36]

Awards and Honors


See also

References

  1. ^ a b c Seligman, Katherine (3 December 2006). "If Andrew Ng could just get his robot to assemble an Ikea bookshelf, we'd all buy one". SFGate. Retrieved 12 February 2013.
  2. ^ "Andrew Ng — Stanford University | Coursera". Coursera. Retrieved 2017-08-29.
  3. ^ a b Ng, Andrew. "Cirriculum Vitae--Andrew Y. Ng" (PDF). {{cite web}}: Cite has empty unknown parameter: |dead-url= (help)
  4. ^ Ng, Andrew (2003). "Shaping and policy search in Reinforcement Learning" (PDF). {{cite web}}: Cite has empty unknown parameter: |dead-url= (help)
  5. ^ "Inside The Mind That Built Google Brain: On Life, Creativity, And Failure". The Huffington Post. 2015-05-13. Retrieved 2015-12-19.
  6. ^ Ng, Andrew (2019-02-20). "Announcing Nova Ng, our first daughter. Plus, some thoughts on the AI-powered world she will grow up in: https://medium.com/@andrewng/nova-ng-38c9fb2883bb …pic.twitter.com/LmlnN81QtP". @AndrewYNg. Retrieved 2019-03-07. {{cite web}}: External link in |title= (help); no-break space character in |title= at position 155 (help)
  7. ^ https://twitter.com/AndrewYNg/status/804739157935276032. {{cite news}}: Missing or empty |title= (help)
  8. ^ "Why Is Machine Learning (CS 229) The Most Popular Course At Stanford?". Forbes. 2013.
  9. ^ Friedman, Thomas L. (2012-05-15). "Opinion | Come the Revolution". The New York Times. ISSN 0362-4331. Retrieved 2018-02-19.
  10. ^ Gannes, Liz (2014-05-16). "Baidu Hires Coursera Founder Andrew Ng to Start Massive Research Lab". Recode. Retrieved 2017-08-29.
  11. ^ "Opening a new chapter of my work in AI". 2017. Retrieved May 16, 2014.
  12. ^ Ng, Andrew (2017-08-08). "deeplearning.ai: Announcing new Deep Learning courses on Coursera". Medium. Retrieved 2018-02-19.
  13. ^ Revitalizing manufacturing through AI.Medium.[2017-12-14].
  14. ^ Ng, Andrew (2017-12-14). "Revitalizing manufacturing through AI". Andrew Ng. Retrieved 2018-02-19.
  15. ^ "Andrew Ng unveils the AI Fund, with $175 million to back new startups | VentureBeat". venturebeat.com. Retrieved 2018-02-19.
  16. ^ "Woebot names AI pioneer Andrew Ng as chairman to work on mental health | VentureBeat". venturebeat.com. Retrieved 2018-02-19.
  17. ^ Ohnsman, Alan. "Robot Car Tech Startup Drive.ai Raises $50 Million, Adds Stanford's Ng To Board". Forbes. Retrieved 2018-02-19.
  18. ^ "Machine Learning Yearning". 2017.
  19. ^ "AI Transformation Playbook How to lead your company into the AI era". Landing AI. 2018-12-13. Retrieved 2018-12-14.
  20. ^ "One of the world's most famous computer scientists reveals his 'playbook' for bringing AI to every business". Business Insider. 2018.
  21. ^ "From Self-Flying Helicopters to Classrooms of the Future". Chronicle of Higher Education. 2012.
  22. ^ "Stanford Autonomous Helicopter Project".
  23. ^ John Markoff (18 July 2006). "Brainy Robots Start Stepping Into Daily Life". New York Times.
  24. ^ "The Stanford Wordnet Project". ai.stanford.edu. Retrieved 2019-04-17.
  25. ^ Claire Miller and Nick Bilton (3 November 2011). "Google's Lab of Wildest Dreams". New York Times.
  26. ^ John Markoff (25 June 2012). "How Many Computers to Identify a Cat? 16,000". New York Times.
  27. ^ Ng, Andrew; Dean, Jeff (2012). "Building High-level Features Using Large Scale Unsupervised Learning". arXiv:1112.6209.
  28. ^ "Speech Recognition and Deep Learning". Google Research Blog. Google. 6 August 2012. Retrieved 29 January 2013.
  29. ^ David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet allocation. The Journal of Machine Learning Research, Volume 3, 3/1/2003, which is one of the two papers that independently discovered Latent Dirichlet allocation
  30. ^ "Interview with Coursera Co-Founder Andrew Ng". Degree of Freedom. Retrieved May 19, 2013.
  31. ^ Theresa Johnson. "Stanford for All". Stanford Magazine.
  32. ^ News, The PIE. "Online learning took a tech turn in 2017 - Coursera's most popular courses". thepienews.com. Retrieved 2018-12-14. {{cite web}}: |last= has generic name (help)
  33. ^ "Year in Review: 10 Most Popular Courses in 2017". Coursera Blog. 2017-12-14. Retrieved 2018-12-14.
  34. ^ Ng, Andrew (2018-11-14). "Announcing "AI for Everyone": a new course from deeplearning.ai". Medium. Retrieved 2018-12-14.
  35. ^ "Andrew Ng - Google Scholar Citations". scholar.google.com. Retrieved 2018-12-14.
  36. ^ New algorithm improves robot vision
  37. ^ "2008 Young Innovators Under 35". Technology Review. 2008. Retrieved August 15, 2011.
  38. ^ Technology Review: TR35
  39. ^ at the age of 37 Emanuel, Ezekiel. "The 2013 TIME 100". Time. ISSN 0040-781X. Retrieved 2018-02-19.
  40. ^ "Fortune's 40 under 40 -- The hottest young stars in business". Fortune. Retrieved 2018-02-19.

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