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  1. deepai.org › profile › andrew-y-ngAndrew Y. Ng | DeepAI

    12 de jan. de 2020 · Andrew Yan-Tak Ng is a Chinese English computer scientist, manager, investor and businessman. Ng co-founded and led Google Brain and was a former VP & Chief Scientist in Baidu, building a group of several thousand people to form an artificial intelligence company. He is a deputy professor at the University of Stanford. Ng is also an early online pioneer, which led to Coursera’s co ...

  2. 吴恩达(1976-,英文名:Andrew Ng),华裔美国人,斯坦福大学计算机科学系和电子工程系副教授,人工智能实验室主任。吴恩达是人工智能和机器学习领域国际上最权威的学者之一。吴恩达也是在线教育平台Coursera的联合创始人(with Daphne Koller),DeepLearning.AI创始人。2014年5月16日,吴恩达加入百度 ...

  3. Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng In NIPS 2012. Semantic Compositionality through Recursive Matrix-Vector Spaces . Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2012.

  4. Andrew Y. Ng received the BSc degree from Carnegie Mellon University, the MSc degree from the Massachusetts Institute of Technology, and the PhD degree from the University of California, Berkeley. He is an assistant professor of computer science at Stanford University.

  5. Andrew Ng has been a director since April 2024. Dr. Ng has served as Managing General Partner of AI Fund, a venture studio that supports entrepreneurs in building AI companies, since January 2018. Dr. Ng also has led DeepLearning.AI, an education technology company he founded to provide AI training, since June 2017. Dr.

  6. Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Y. Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar: LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype.

  7. 7 de jan. de 2019 · Analysis of electrocardiograms using an end-to-end deep learning approach can detect and classify cardiac arrhythmia with high accuracy, similar to that of cardiologists.