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  1. en.wikipedia.org › wiki › Andrew_NgAndrew Ng - Wikipedia

    Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu , building the company's Artificial Intelligence Group into a ...

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  2. www.andrewng.orgAndrew Ng

    Dr. Andrew Ng is a globally recognized leader in AI, founder of DeepLearning.AI and Landing AI, co-founder of Coursera, and professor at Stanford. Learn more about his work, publications, and Time100 AI list recognition.

  3. Andrew Y. Ng. &nbsp &nbsp &nbsp &nbsp. Assistant Professor Computer Science Department Department of Electrical Engineering (by courtesy) Stanford University Room 156, Gates Building 1A Stanford, CA 94305-9010 Tel: (650)725-2593 FAX: (650)725-1449 email: ang@cs.stanford.edu. Research interests: Machine learning, broad competence artificial ...

  4. Andrew Ng. M Quigley, K Conley, B Gerkey, J Faust, T Foote, J Leibs, R Wheeler, ... Proceedings of the 2013 conference on empirical methods in natural language …. Proceedings of the 49th annual meeting of the association for computational …. J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ...

  5. Learn from Andrew Ng, a pioneer in machine learning and online education, who founded DeepLearning.AI and Coursera. Explore his courses on AI for everyone, neural networks, deep learning, and more.

  6. Andrew Ng is founder of DeepLearning.AI, general partner at AI Fund, chairman and cofounder of Coursera, and an adjunct professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, ...

  7. Learn from Andrew Ng, a leading expert in machine learning and AI, through his online courses on DeepLearning.AI and Stanford Online. Explore topics such as machine learning fundamentals, production systems, deep learning, and AI for everyone.