2020
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Discover the best courses to build a career in AI | By Andrew Ng | 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 AI journey.
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).
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.
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.
Get the latest AI news, courses, events, and insights from Andrew Ng and other AI leaders.
Machine learning engineering for production refers to the tools, techniques, and practical experiences that transform theoretical ML knowledge into a production-ready skillset. The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in ...
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 ...
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, ...
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (gen...
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- DeepLearning.AI
