Search results
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).
Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.
Andrew Ng’s Machine Learning Collection. Courses and specializations from leading organizations and universities, curated by Andrew Ng. Andrew Ng is founder of DeepLearning.AI, general partner at AI Fund, chairman and cofounder of Coursera, and an adjunct professor at Stanford University.
Discover the best courses to build a career in AI | Whether you're a beginner or an experienced practitioner, our world-class curriculum and unique teaching methodology will guide you through every stage of your Al journey.
View Andrew Ng’s profile on LinkedIn, a professional community of 1 billion members.
- DeepLearning.AI
Andrew Ng is Founder & CEO of Landing AI, Founder of deeplearning.ai, Co-Chairman and Co-Founder of Coursera, and is currently an Adjunct Professor at Stanford University. He was also Chief Scientist at Baidu Inc., and Founder & Lead for the Google Brain Project.
Articles 1–20. Stanford University - Cited by 258,781 - Machine Learning - Deep Learning - AI.
Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless ...
Machine Learning Engineering for Production (MLOps) Specialization. Machine learning engineering for production refers to the tools, techniques, and practical experiences that transform theoretical ML knowledge into a production-ready skillset.
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (gen...
