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Machine Learning

We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.



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Machine Learning

https://www.sheffield.ac.uk/dcs/research/groups/machine-learning

We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.



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https://www.sheffield.ac.uk/dcs/research/groups/machine-learning

Machine Learning

We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.

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      Machine Learning | Computer Science | The University of Sheffield
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      We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.
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      Computer Science

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    • og:title
      Machine Learning
    • og:description
      We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.
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      Stock image - Artificial Intelligence

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    • twitter:description
      We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from biologically inspired computational models to probabilistic modelling and dimensionality reduction.
    • twitter:title
      Machine Learning
    • twitter:image:alt
      Stock image - Artificial Intelligence

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