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  1. 1
    Machine learning applied to composite materials / Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin, editors.

    Machine learning applied to composite materials / Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin, editors.

    Published 2022
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  2. 2
    Why machines learn : the elegant math behind modern AI / Anil Ananthaswamy.

    Why machines learn : the elegant math behind modern AI / Anil Ananthaswamy. by Ananthaswamy, Anil

    Published 2024
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  3. 3
    Cognitive machine intelligence : applications, challenges, and related technologies / edited by Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belqziz and Tarandeep Kaur Bhatia.

    Cognitive machine intelligence : applications, challenges, and related technologies / edited by Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belqziz and Tarandeep Kaur...

    Published 2024
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  4. 4
    Advanced research in electronic devices for biomedical and mHealth / edited by Rajesh K. Kesharwani, PhD, MTech, Upendra Kumar, PhD, Raj K. Keservani, PhD, MPharm.

    Advanced research in electronic devices for biomedical and mHealth / edited by Rajesh K. Kesharwani, PhD, MTech, Upendra Kumar, PhD, Raj K. Keservani, PhD, MPharm.

    Published 2025
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  5. 5
    ADVANCED COMPUTING TECHNIQUES FOR OPTIMIZATION IN CLOUD

    ADVANCED COMPUTING TECHNIQUES FOR OPTIMIZATION IN CLOUD

    Published 2024
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  6. 6
    FEDERATED LEARNING unlocking the power of collaborative intelligence.

    FEDERATED LEARNING unlocking the power of collaborative intelligence.

    Published 2024
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  7. 7
    An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV.

    An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV. by Osoba, Osonde, Welser, William, IV

    Published 2017
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  8. 8
    Mitigating Bias in Machine Learning / Carlotta A. Berry, Brandeis Hill Marshall.

    Mitigating Bias in Machine Learning / Carlotta A. Berry, Brandeis Hill Marshall. by Berry, Carlotta A., Marshall, Brandeis Hill

    Published 2025
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  9. 9
    My name is Shingo / by Kazuo Umezz ; translation, Jocelyne Allen ; English adaptation, Molly Tanzer ; lettering, Evan Waldinger.

    My name is Shingo / by Kazuo Umezz ; translation, Jocelyne Allen ; English adaptation, Molly Tanzer ; lettering, Evan Waldinger. by Umezu, Kazuo, 1936-2024, Tanzer, Molly, Waldinger, Evan

    Published 2024
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  10. 10
    MLOps chronicles 11-2021 / Noah Gift.

    MLOps chronicles 11-2021 / Noah Gift.

    Published 2021
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  11. 11
    Deep learning using Keras : a complete and compact guide for beginners / Abhilash Nelson.

    Deep learning using Keras : a complete and compact guide for beginners / Abhilash Nelson.

    Published 2021
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  12. 12
    Training a support vector machine in R with mlr. Hefin Rhys.

    Training a support vector machine in R with mlr. Hefin Rhys.

    Published 2020
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  13. 13
    Training a support vector machine in R with mlr. Hefin Rhys.

    Training a support vector machine in R with mlr. Hefin Rhys.

    Published 2020
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  14. 14
    MLOps for containers with AWS and GCP / Alfredo Deza, Noah Gift.

    MLOps for containers with AWS and GCP / Alfredo Deza, Noah Gift.

    Published 2021
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  15. 15
    MLOps maturity model / Alfredo Deza.

    MLOps maturity model / Alfredo Deza.

    Published 2021
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  16. 16
    MLOps talks I want to attend at re:Invent 2021 : / Noah Gift.

    MLOps talks I want to attend at re:Invent 2021 : / Noah Gift.

    Published 2021
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  17. 17
    Kicking the tires on MLOps framework MLRun / Noah Gift.

    Kicking the tires on MLOps framework MLRun / Noah Gift.

    Published 2021
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  18. 18
    Building effective data science infrastructure in 30 minutes / Ville Tuulos.

    Building effective data science infrastructure in 30 minutes / Ville Tuulos.

    Published 2021
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  19. 19
    O'Reilly radar event. Jeremy Howard, Aur?elien G?eron, Aileen Nielsen, Shingai Manjengwa, Theresa Johnson, Sev Leonard, Noah Gift, Vinoo Ganesh, Victor Dibia, Barr Moses, Adi Polak, Chris Fregly, Antje Barth.

    O'Reilly radar event. Jeremy Howard, Aur?elien G?eron, Aileen Nielsen, Shingai Manjengwa, Theresa Johnson, Sev Leonard, Noah Gift, Vinoo Ganesh, Victor Dibia, Barr Moses, Adi Polak... by Howard, Jeremy

    Published 2021
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  20. 20
    Using AWS Sagemaker.

    Using AWS Sagemaker.

    Published 2021
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