Andrew Ng
In plain wordsA British-born American computer scientist whose online courses have taught machine learning to millions; he also co-founded Google's deep learning team, Google Brain, and the online-course company Coursera.
British-born American computer scientist, adjunct professor at Stanford University, where he has taught since 2002. His research includes helicopter flight learned from human demonstrations (with Pieter Abbeel), latent Dirichlet allocationlatent Dirichlet allocation, n.: A popular topic-finding method that assumes every document is a blend of a few themes and every theme favors certain words, then works backward from the words to find both. (with David Blei and Michael Jordan, 2003) and early use of GPUsGPU, abbr.: A computer chip first designed to draw video-game graphics that turned out to be ideal for AI, because it can do thousands of simple calculations at the same time. to train large neural networks (2009). In 2011 he co-founded Google BrainGoogle Brain, prop. n.: Google's deep-learning research team from 2011 to 2023, where the transformer — the design behind today's chatbots — and the TensorFlow software were created. with Jeff Dean and Greg Corrado; its 2012 experiment, in which a network trained on unlabeled YouTube frames learned to detect cats, publicized large-scale deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract.. His 2011 online Stanford machine-learning course enrolled over 100,000 students and led him to co-found Coursera (2012) with Daphne Koller. He was chief scientist at BaiduBaidu, prop. n.: China's largest search-engine company and an early investor in deep learning, which makes the Ernie chatbot and models and runs driverless taxis. (2014–2017), then founded DeepLearning.AI, Landing AI and the venture studio AI Fund. He popularized the slogan 'AI is the new electricity' and advocates data-centric AIdata-centric AI, n.: An approach to building AI that focuses on improving the data — fixing labels, adding missing cases, cleaning inconsistencies — rather than endlessly tweaking the model..
Related
- Google BrainGoogle Brain, prop. n.: Google's deep-learning research team from 2011 to 2023, where the transformer — the design behind today's chatbots — and the TensorFlow software were created.
- deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract.
- data-centric AIdata-centric AI, n.: An approach to building AI that focuses on improving the data — fixing labels, adding missing cases, cleaning inconsistencies — rather than endlessly tweaking the model.
- machine learningmachine learning, n.: A way of building software that learns from examples instead of following rules written by a programmer. Shown thousands of labeled photos, for instance, a program can learn to recognize cats.
- latent Dirichlet allocationlatent Dirichlet allocation, n.: A popular topic-finding method that assumes every document is a blend of a few themes and every theme favors certain words, then works backward from the words to find both.
- BaiduBaidu, prop. n.: China's largest search-engine company and an early investor in deep learning, which makes the Ernie chatbot and models and runs driverless taxis.
Sources
- Raina, R., Madhavan, A. & Ng, A. Y. (2009). Large-scale Deep Unsupervised Learning using Graphics Processors. ICML 2009.
- Le, Q. V. et al. (2012). Building High-level Features Using Large Scale Unsupervised Learning. ICML 2012.
Mentioned in
BaiduBaidu, prop. n.: China's largest search-engine company and an early investor in deep learning, which makes the Ernie chatbot and models and runs driverless taxis., Google BrainGoogle Brain, prop. n.: Google's deep-learning research team from 2011 to 2023, where the transformer — the design behind today's chatbots — and the TensorFlow software were created., Jeff DeanJeff Dean, prop. n.: An American computer scientist who built much of Google's computing infrastructure, co-founded the Google Brain deep-learning team and was Google's chief scientist before leaving in 2026 to co-found a startup., Daphne KollerDaphne Koller, prop. n.: An Israeli-American computer scientist who wrote the standard text on probabilistic reasoning in AI, co-founded the online-course company Coursera, and founded a machine-learning drug-discovery company., Michael I. JordanMichael I. Jordan, prop. n.: An American computer scientist and statistician who did much to bring probability and statistics into machine learning, and who trained many of the field's leaders., Pieter AbbeelPieter Abbeel, prop. n.: A Belgian-American roboticist at Berkeley whose research taught robots to learn from demonstrations and from trial and error, and who co-founded the robotics company Covariant.