This list relates to the period 2018/19 which ended on 31/08/2019
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  1. Books. 21 items
    1. Pattern recognition and machine learning - Christopher M. Bishop c2006

      Book Core

    2. Machine learning: a probabilistic perspective - Kevin P. Murphy c2012 (electronic resource)

      Book Core

    3. Artificial intelligence: a modern approach - Stuart J. Russell, Peter Norvig c2010

      Book Core

    4. Artificial intelligence: a modern approach | ebook - Stuart J. Russell, Peter Norvig 2016 (electronic resource)

      Book Core

    5. Deep learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville 2016

      Book Core

    6. Bayesian reasoning and machine learning - David Barber 2012

      Book Core

    7. Machine learning : a Bayesian and optimization perspective. Sergios Theodoridis - Sergios Theodoridis 2015

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    8. Introduction to machine learning - Ethem Alpaydin 2014

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    9. Machine learning: an algorithmic perspective - Stephen Marsland 2015 (electronic resource)

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    10. Machine learning: an algorithmic perspective - Stephen Marsland 2015

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    11. Pattern recognition - Sergios Theodoridis, Konstantinos Koutroumbas 2009

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    12. Pattern recognition - Sergios Theodoridis, Konstantinos Koutroumbas c2009 (electronic resource)

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    13. Kernel methods for pattern analysis - John Shawe-Taylor, Nello Cristianini 2004

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    14. Kernel methods for pattern analysis - John Shawe-Taylor, Nello Cristianini 2004 (electronic resource)

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    15. Pattern classification - Richard O. Duda, Peter E. Hart, David G. Stork, Richard O. Duda c2001 (electronic resource)

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    16. Pattern classification - Richard O. Duda, Peter E. Hart, David G. Stork c2001

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    17. Feature extraction & image processing for computer vision - Mark S. Nixon, Alberto S. Aguado, Mark S. Nixon 2012 (electronic resource)

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    18. Feature extraction & image processing for computer vision - Mark S. Nixon, Alberto S. Aguado 2012

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