18 Facts About Andrew Ng

Andrew Yan-Tak Ng is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence.

Andrew Ng has spearheaded many efforts to "democratize deep learning" teaching over 8 million students through his online courses.

Andrew Ng's influence extends to being named in the Time100 AI Most Influential People in 2023.

Andrew Ng has founded Landing AI, which provides AI-powered SaaS products.

Andrew Ng's thesis is titled "Shaping and policy search in reinforcement learning" and is well-cited to this day.

Andrew Ng started working as an assistant professor at Stanford University in 2002 and as an associate professor in 2009.

Andrew Ng served as the director of the Stanford Artificial Intelligence Laboratory, where he taught students and undertook research related to data mining, big data, and machine learning.

Andrew Ng's machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years.

Andrew Ng developed for the company the AI platform called DuerOS and other technologies that positioned Baidu ahead of Google in the discourse and development of AI.

Andrew Ng was the leading scientist and principal investigator on the STAIR project, which resulted in Robot Operating System, a widely used open source software robotics platform.

Andrew Ng is 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.

Andrew Ng is a member of the board of directors for drive.

Andrew Ng has corefereed hundreds of AI publications in journals like NeurIPS.

Andrew Ng has given invited talks at NASA, Google, Microsoft, Lockheed Martin, the Max Planck Society, Stanford, Princeton, UPenn, Cornell, MIT, UC Berkeley, and dozens of other universities.

Andrew Ng has written for Harvard Business Review, HuffPost, Slate, Apple News, and Quora Sessions' Twitter.

Andrew Ng writes a weekly digital newsletter called The Batch.

Andrew Ng wrote a book Machine Learning Yearning, a practical guide for those interested in machine learning, which he distributed for free.

Andrew Ng argued that regulating basic technologies like open-source models could hinder progress without markedly enhancing safety.