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High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...
Kaiming He (Chinese: 何恺明; pinyin: Hé Kǎimíng) is a Chinese computer scientist who primarily researches computer vision and deep learning. [2] He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet).
Bengio obtained his Ph.D. in Computer Science in 1993 with a thesis titled Optimization of a Parametric Learning Rule for Neural Networks from the Université de Montréal. Before that, Bengio got an M.Sc. in Computer Science in 1989 with a thesis on Integration of Traditional and Intelligence Tutoring Systems from the same university, together ...
Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s 'AI winter' caused by pessimism about machine learning effectiveness. 1980s: Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s: Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach.
Blei received the ACM Infosys Foundation Award in 2013. (This award is given to a computer scientist under the age of 45. It has since been renamed the ACM Prize in Computing.) He was named Fellow of ACM "For contributions to the theory and practice of probabilistic topic modeling and Bayesian machine learning" in 2015. [2]
Shane Legg CBE (born 1973 or 1974 [1]) is a machine learning researcher and entrepreneur. With Demis Hassabis and Mustafa Suleyman, he cofounded DeepMind Technologies (later bought by Google and now called Google DeepMind), and works there as the chief AGI scientist.
Hartmut Neven (born 1964) is a German American scientist working in quantum computing, computer vision, robotics and computational neuroscience.He is best known for his work in face and object recognition and his contributions to quantum machine learning.
Lawrence spent a year at Microsoft Research before serving as a senior lecturer in machine learning and computational biology at the University of Sheffield for six years. . From 2007 to 2010, Lawrence was research fellow at the University of Manchester's Department of Computer Science, returning to the University of Sheffield in 2010 as the collaborative chair of neuro and computer scien