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  1. 1
    Springer Nature business video. produced by Springer Nature.

    Springer Nature business video. produced by Springer Nature.

    Published 2021
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  2. 2
    Applied probability & statistics : for computer science, data science & machine learning / Dr. Mohammad Nauman.

    Applied probability & statistics : for computer science, data science & machine learning / Dr. Mohammad Nauman. by Nauman, Mohammad

    Published 2022
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  3. 3
    Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini.

    Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini. by Shawe-Taylor, John

    Published 2004
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  4. 4
    Challenges in machine generation of analytic products from multi-source data : proceedings of a workshop / Linda Casola, rapporteur ; Intelligence Community Studies Board, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine.

    Challenges in machine generation of analytic products from multi-source data : proceedings of a workshop / Linda Casola, rapporteur ; Intelligence Community Studies Board, Division... by Casola, Linda Clare, 1982-

    Published 2017
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  5. 5
    Learning Salesforce Einstein.

    Learning Salesforce Einstein. by Shrivastava, Mohith

    Published 2017
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  6. 6
    A machine learning, artificial intelligence approach to institutional effectiveness in higher education / by John N. Moye.

    A machine learning, artificial intelligence approach to institutional effectiveness in higher education / by John N. Moye. by Moye, John N.

    Published 2019
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  7. 7
    Healthcare Analytics Made Simple : Techniques in Healthcare Computing Using Machine Learning and Python.

    Healthcare Analytics Made Simple : Techniques in Healthcare Computing Using Machine Learning and Python. by Kumar, Vikas (Vik)

    Published 2018
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  8. 8
    Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk.

    Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk.

    Published 2005
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  9. 9
    Machine Learning in Biotechnology and Life Sciences : Build Machine Learning Models Using Python and Deploy Them on the Cloud.

    Machine Learning in Biotechnology and Life Sciences : Build Machine Learning Models Using Python and Deploy Them on the Cloud. by Alkhalifa, Saleh

    Published 2022
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  10. 10
    Scala for Machine Learning - Second Edition.

    Scala for Machine Learning - Second Edition. by Nicolas, Patrick R.

    Published 2017
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  11. 11
    Machine Learning for Financial Engineering.

    Machine Learning for Financial Engineering. by Gyorfi, Laszlo

    Published 2012
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  12. 12
    The the Data Science Workshop : Learn How You Can Build Machine Learning Models and Create Your Own Real-World Data Science Projects, 2nd Edition.

    The the Data Science Workshop : Learn How You Can Build Machine Learning Models and Create Your Own Real-World Data Science Projects, 2nd Edition. by So, Anthony (Data scientist)

    Published 2020
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  13. 13
    Machine learning for protein subcellular localization prediction / Shibiao Wan, Man-Wai Mak.

    Machine learning for protein subcellular localization prediction / Shibiao Wan, Man-Wai Mak. by Wan, Shibiao, Mak, M. W.

    Published 2015
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  14. 14
    Predictive medicine : artificial intelligence and its impact on health care business strategy / Emmanuel Fombu.

    Predictive medicine : artificial intelligence and its impact on health care business strategy / Emmanuel Fombu. by Fombu, Emmanuel

    Published 2020
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  15. 15
    Big data analysis using machine learning for social scientists and criminologists / by Juyong Song and Tae Min Song.

    Big data analysis using machine learning for social scientists and criminologists / by Juyong Song and Tae Min Song. by Song, Juyoung, Song, T'ae-min

    Published 2019
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  16. 16
    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / Theodore Petrou.

    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / Theodore Petrou. by Petrou, Theodore

    Published 2017
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  17. 17
    Advances in financial machine learning / Marcos López de Prado.

    Advances in financial machine learning / Marcos López de Prado. by López de Prado, Marcos Mailoc

    Published 2018
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  18. 18
    Just Enough R! : an Interactive Approach to Machine Learning and Analytics.

    Just Enough R! : an Interactive Approach to Machine Learning and Analytics. by Roiger, Richard J.

    Published 2020
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  19. 19
    The data science workshop : a new, interactive approach to learning data science / Anthony So [and four others].

    The data science workshop : a new, interactive approach to learning data science / Anthony So [and four others]. by So, Anthony (Data scientist)

    Published 2020
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  20. 20
    Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.

    Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams. by Rasmussen, Carl Edward

    Published 2006
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