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Andrew Ng
DeepLearning.AI 创始人
About
Andrew Ng 创办了 DeepLearning.AI，一家 AI 教育公司。
Andrew 是 AI Fund 的管理普通合伙人、AI Aspire 的管理合伙人、LandingAI 的执行董事长，也是 Coursera 的董事长兼联合创始人。
Andrew 在 Stanford University 担任兼职教授，曾领导 Google Brain，并担任 Baidu 副总裁兼首席科学家。
Andrew 拥有 Carnegie Mellon University、MIT 和 UC Berkeley 的学位。
Experience
DeepLearning.AIFounder2017
- AI FundManaging General Partner
- AI AspireManaging Partner
LandingAIExecutive Chairman and Founder2017
CourseraChairman and Co-Founder2012
Stanford UniversityAdjunct Professor
GoogleFounder and Lead, Google Brain Deep Learning Project2011 – 2012
BaiduVP and Chief Scientist
- AmazonBoard of Directors2024
- drive.aiMember of the Board of Directors
- Woebot LabsChair of the Board
- AT&T Bell Labs
Education
At a glance
联合创办 Coursera
领导 Google Brain 团队
创办 LandingAI
Ask Andrew about
Full record · 18 facts, for people and agents who want everything
Work
- In 2017, Ng founded DeepLearning.AI to make AI education more accessible.
- Ng taught a Stanford online machine learning course in 2011 that enrolled over 100,000 students.
- Ng co-founded Coursera with Daphne Koller in 2012.
- Ng founded LandingAI in 2017.
- Ng was the founding lead of Google Brain.
- Ng led a 1,300-person AI team at Baidu.
- Ng was formerly director of the Stanford AI Lab.
- Ng worked as an assistant professor at Stanford University from 2002 and as an associate professor from 2009.
- Between 1996 and 1998, Ng conducted research on reinforcement learning, model selection and feature selection at AT&T Bell Labs.
Projects
- At LandingAI, Ng leads the technical direction for Agentic Document Extraction.
- Ng started Stanford Engineering Everywhere, which published Stanford courses online in 2008.
Writing
- Ng has authored or co-authored over 200 papers in AI and related fields.
- Ng co-authored the 2003 paper Latent Dirichlet Allocation with David M. Blei and Michael I. Jordan.
- Ng wrote Machine Learning Yearning and AI Transformation Playbook.
- Ng writes the weekly digital newsletter The Batch.
Education
- Ng's doctoral thesis is titled Shaping and policy search in reinforcement learning.
Recognition
- Ng was named to the 2023 Time100 AI list.
Interests
- Ng's research includes machine learning, deep learning, machine perception, computer vision and natural language processing.
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