Yahoo Suche Web Suche

Suchergebnisse

  1. Suchergebnisse:
  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 ...

    • ng4 jan1 daat6
  2. 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 ...

  3. 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.

  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. Andrew Ng. Andrew Ng (* 1976 in London, Vereinigtes Königreich) ist ein chinesisch-US-amerikanischer Informatiker. Er ist bekannt für seine Arbeiten zur Künstlichen Intelligenz und Robotik. Ng ist Mitgründer der Online-Lernplattform Coursera. Hintergrund und Wirken

  6. Andrew Ng is a leading expert and entrepreneur in machine learning and deep learning. He founded and led the Google Brain project, co-founded Coursera, and is now the CEO of Landing AI and the founder of deeplearning.ai.

  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.