Nando de Freitas | |
---|---|
Born | |
Alma mater | University of the Witwatersrand, Trinity College, Cambridge |
Known for | Machine Learning |
Scientific career | |
Fields | Computer science |
Institutions | University of British Columbia, Oxford University |
Nando de Freitas is a researcher in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning. [1]
De Freitas was born in Zimbabwe. He did his undergraduate studies (1991–94) and MSc (1994–96) at the University of the Witwatersrand, and his PhD at Trinity College, Cambridge (1996-2000). [2] From 2001, he was a professor at the University of British Columbia, before joining the Department of Computer Science at the University of Oxford from 2013 to 2017. He now works for Google's DeepMind. [3]
De Freitas has been recognised for his contributions to machine learning through the following awards:
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cite web}}
: CS1 maint: bot: original URL status unknown (
link)
Nando de Freitas | |
---|---|
Born | |
Alma mater | University of the Witwatersrand, Trinity College, Cambridge |
Known for | Machine Learning |
Scientific career | |
Fields | Computer science |
Institutions | University of British Columbia, Oxford University |
Nando de Freitas is a researcher in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning. [1]
De Freitas was born in Zimbabwe. He did his undergraduate studies (1991–94) and MSc (1994–96) at the University of the Witwatersrand, and his PhD at Trinity College, Cambridge (1996-2000). [2] From 2001, he was a professor at the University of British Columbia, before joining the Department of Computer Science at the University of Oxford from 2013 to 2017. He now works for Google's DeepMind. [3]
De Freitas has been recognised for his contributions to machine learning through the following awards:
{{
cite web}}
: CS1 maint: bot: original URL status unknown (
link)