Andrew Ng

Andrew Ng is a computer scientist and entrepreneur known for co-founding Google Brain and Coursera, and for teaching machine learning to a large online audience.

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Geoffrey Hinton: Geoffrey Hinton is a computer scientist whose research helped establish modern deep learning. Ng worked with Hinton’s research group at the University of Toronto before joining Google.
Google Brain: Google Brain was a deep-learning research project and team launched at Google in 2011. Ng co-founded the team, which helped bring large-scale neural-network research inside a technology company.
Deep learning: Deep learning is machine learning based on neural networks with multiple layers of learned representations. Ng’s research and advocacy helped popularize deep learning in industrial AI.
Artificial general intelligence: Artificial general intelligence is a hypothetical AI system capable of performing a wide range of intellectual tasks. Ng has criticized treating distant general intelligence as more urgent than present-day AI harms.
Fei-Fei Li: Fei-Fei Li is a computer scientist known for work in computer vision and ImageNet. She led Google Cloud’s AI efforts while Ng led Google Brain, bringing research and products into close contact.
Coursera: Coursera is an online learning platform founded in 2012 by Andrew Ng and Daphne Koller. Ng co-founded the platform to make university courses available online at large scale.
Machine learning: Machine learning is the study of computer systems that improve their performance by learning from data. Ng’s research, teaching, and companies center on this broader field.
AI winter: An AI winter is a period of reduced funding and interest in artificial-intelligence research. Ng’s accounts of AI progress emphasize practical capabilities rather than cycles of inflated expectation and collapse.
Daphne Koller: Daphne Koller is a computer scientist and entrepreneur whose work spans machine learning and online education. Koller co-founded Coursera with Ng, combining their academic and entrepreneurial interests.
Machine Learning Yearning: Machine Learning Yearning is Andrew Ng’s practical guide to structuring machine-learning projects. The book turns Ng’s teaching experience into advice about diagnosing and improving AI systems.