About: Radford M. Neal

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Radford M. Neal is a professor at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning. He studied computer science at the University of Calgary (B.Sc. 1977, M.Sc. 1980) and at the University of Toronto (Ph.D. 1995). He has made great contributions in the area of machine learning and statistics, where he is particularly well known for his work on Markov chain Monte Carlo, error correcting codes and Bayesian learning for neural networks. He is also known for his blog and as the developer of pqR: a new version of the R interpreter.

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  • Radford M. Neal is a professor at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning. He studied computer science at the University of Calgary (B.Sc. 1977, M.Sc. 1980) and at the University of Toronto (Ph.D. 1995). He has made great contributions in the area of machine learning and statistics, where he is particularly well known for his work on Markov chain Monte Carlo, error correcting codes and Bayesian learning for neural networks. He is also known for his blog and as the developer of pqR: a new version of the R interpreter. (en)
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  • 1956-09-12 (xsd:date)
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  • 1956-09-12 (xsd:date)
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  • Canadian (en)
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  • Ph.D in Computer Science, University of Toronto, 1995 (en)
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  • Radford M. Neal (en)
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  • Bayesian Learning for Neural Networks (en)
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  • 1995 (xsd:integer)
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  • Radford M. Neal is a professor at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning. He studied computer science at the University of Calgary (B.Sc. 1977, M.Sc. 1980) and at the University of Toronto (Ph.D. 1995). He has made great contributions in the area of machine learning and statistics, where he is particularly well known for his work on Markov chain Monte Carlo, error correcting codes and Bayesian learning for neural networks. He is also known for his blog and as the developer of pqR: a new version of the R interpreter. (en)
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  • Radford M. Neal (en)
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  • Radford M. Neal (en)
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