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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
    Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn / Stephen Klosterman.

    Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn / Stephen Klosterman. by Klosterman, Stephen

    Published 2019
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  3. 3
    Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving.

    Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving. by De Bruyne, Steven

    Published 2010
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  4. 4
    R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully / Raghav Bali, Dipanjan Sarkar.

    R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully... by Bali, Raghav, Sarkar, Dipanjan

    Published 2016
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  5. 5
    Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling / Jesus Salcedo.

    Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling / Jesus Salcedo. by Salcedo, Jesus

    Published 2019
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  6. 6
    Spark for Data Science.

    Spark for Data Science. by Srinivas Duvvuri; Bikramaditya Singhal

    Published 2016
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  7. 7
    Mastering Spark for data science / Andrew Morgan, Antoine Amend, Matthew Hallett, David George ; foreword by Harry Powell.

    Mastering Spark for data science / Andrew Morgan, Antoine Amend, Matthew Hallett, David George ; foreword by Harry Powell. by Morgan, Andrew

    Published 2017
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  8. 8
    How to Talk to Data Scientists A Guide for Executives.

    How to Talk to Data Scientists A Guide for Executives. by Elser, Jeremy

    Published 2021
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  9. 9
    Data mining with decision trees : theory and applications / Lior Rokach, Oded Maimon.

    Data mining with decision trees : theory and applications / Lior Rokach, Oded Maimon. by Rokach, Lior

    Published 2008
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  10. 10
    Data analytics made easy : use machine learning and data storytelling in your work without writing... any code.

    Data analytics made easy : use machine learning and data storytelling in your work without writing... any code. by Mauro, Andrea de

    Published 2021
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  11. 11
    Reproducible Data Science with Pachyderm : Learn How to Build Version-Controlled, End-to-end Data Pipelines Using Pachyderm 2. 0.

    Reproducible Data Science with Pachyderm : Learn How to Build Version-Controlled, End-to-end Data Pipelines Using Pachyderm 2. 0. by Karslioglu, Svetlana

    Published 2022
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  12. 12
    Codeless Deep Learning with KNIME Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform.

    Codeless Deep Learning with KNIME Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform. by Melcher, Kathrin

    Published 2020
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  13. 13
    Hands-On Data Science and Python Machine Learning.

    Hands-On Data Science and Python Machine Learning. by Kane, Frank

    Published 2017
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  14. 14
    Data Mining and Machine Learning in Building Energy Analysis.

    Data Mining and Machine Learning in Building Energy Analysis. by Fr©¡a℗Œd©¡a℗Œric Magoules

    Published 2016
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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
    Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino.

    Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. by Martino, Julio Cesar Rodriguez

    Published 2019
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  17. 17
    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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  18. 18
    Microsoft Azure machine learning : explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks / Sumit Mund.

    Microsoft Azure machine learning : explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks / Sumit Mund. by Mund, Sumit

    Published 2015
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  19. 19
    Deep learning with Python : a hands-on introduction / Nikhil Ketkar.

    Deep learning with Python : a hands-on introduction / Nikhil Ketkar. by Ketkar, Nikhil

    Published 2017
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  20. 20
    Machine interpretation of patterns : image analysis and data mining / editors, Rajat K. De, Deba Prasad Mandal, Ashish Ghosh.

    Machine interpretation of patterns : image analysis and data mining / editors, Rajat K. De, Deba Prasad Mandal, Ashish Ghosh.

    Published 2010
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