• DOI:10.1038/nature14541
Corpus ID: 216356

Probabilistic machine learning and artificial intelligence

@article{Ghahramani2015ProbabilisticML,
  title={Probabilistic machine learning and artificial intelligence},
  author={Zoubin Ghahramani},
  journal={Nature},
  year={2015},
  volume={521},
  pages={452-459}
}

• Zoubin Ghahramani
• Published 2015
• Computer Science, Medicine
• Nature

How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and… Expand

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