Ngā hua rapu - "Machine Learning"

  1. 1
    Ata uhi

    Introduction to machine learning / Ethem Alpaydin.

    I whakaputaina 2014
    Pukapuka

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  2. 2
    Ata uhi

    JMLR workshop and conference proceedings.

    Continuing Resources

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  3. 3
    Ata uhi

    Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville.

    I whakaputaina 2016
    Pukapuka

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  4. 4
    Ata uhi

    Prediction, learning, and games / Nicolò Cesa-Bianchi, Gábor Lugosi.

    I whakaputaina 2006
    Pukapuka

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  5. 5
    Ata uhi

    Journal of machine learning research JMLR. [electronic resource] :

    I whakaputaina 2001
    Continuing Resources

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  6. 6
    Ata uhi

    Go Machine Learning Projects : Eight Projects Demonstrating End-To-end Machine Learning and Predictive Analytics Applications in Go.

    I whakaputaina 2018
    Pukapuka

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  7. 7
    Ata uhi

    How Can We Use Machine Learning in the Search for Exoplanets?.

    I whakaputaina date of publication not identified
    Video Recording

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  8. 8
    Ata uhi

    Introducing MLOps : how to scale machine learning in the enterprise / Mark Treveil and the Dataiku team.

    I whakaputaina 2020
    Pukapuka

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  9. 9
    Ata uhi

    Machine learning and its applications : advanced lectures / Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.).

    I whakaputaina ©2001
    Pukapuka

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  10. 10
    Ata uhi

    Multiple Instance Learning : Foundations and Algorithms / Francisco Herrera [and others].

    I whakaputaina 2016
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  11. 11
    Ata uhi

    Metric learning / Aurélien Bellet, Amaury Habrard, Marc Sebban.

    I whakaputaina 2015
    Pukapuka

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  12. 12
    Ata uhi

    Cybersecurity in digital transformation : scope and applications / Dietmar P.F. Möller.

    I whakaputaina 2020
    Pukapuka

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  13. 13
    Ata uhi

    Meta-analytics : consensus approaches and system patterns for data analysis / Steven Simske.

    I whakaputaina 2019
    Pukapuka

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  14. 14
    Ata uhi

    Proceedings, Twenty-second International Conference on Machine Learning edited by Luc De Raedt and Stefan Wrobel. [electronic resource] /

    I whakaputaina ©2005
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  15. 15
    Ata uhi

    Graph-based semi-supervised learning / Amarnag Subramanya, Partha Pratim Talukdar.

    I whakaputaina 2014
    Pukapuka

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  16. 16
    Ata uhi

    Machine learning in action / Peter Harrington.

    I whakaputaina ©2012
    Pukapuka

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  17. 17
    Ata uhi

    Machine Learning for Dummies

    Pukapuka

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  18. 18
    Ata uhi

    Fundamentals of Machine Learning and Deep Learning in Medicine / by Reza Borhani, Soheila Borhani, Aggelos K. Katsaggelos.

    I whakaputaina 2022
    Pukapuka

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  19. 19
    Ata uhi

    Proceedings of Machine Learning Research.

    Continuing Resources

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  20. 20
    Ata uhi

    Learning from data : a short course / Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.

    I whakaputaina ©2012
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