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  1. 1
    The Data Science Handbook

    The Data Science Handbook 由 Cady, Field

    出版 2017
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  2. 2
    Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R

    Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R 由 Beysolow Taweh

    出版 2022
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  3. 3
    AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots

    AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots 由 Gentsch Peter

    出版 2019
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  4. 4
    Agile machine learning : effective machine learning inspired by the Agile manifesto

    Agile machine learning : effective machine learning inspired by the Agile manifesto 由 Carter Eric

    出版 2022
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  5. 5
    Beginning data science in R : data analysis, visualization, and modelling for the data scientist

    Beginning data science in R : data analysis, visualization, and modelling for the data scientist 由 Mailund Thomas

    出版 2021
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  6. 6
    Data analysis and visualization using Python: : analyze data to create visualizations for BI systems

    Data analysis and visualization using Python: : analyze data to create visualizations for BI systems 由 Embarak Ossama

    出版 2021
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  7. 7
    Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps

    Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps 由 Lakshmanan Valliappa

    出版 2021
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  8. 8
    Big Data Analytics: Introduction to Hadoop, Spark and Machine-Learning

    Big Data Analytics: Introduction to Hadoop, Spark and Machine-Learning 由 Kamal Raj

    出版 2019
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  9. 9
    Data Science and Big Data Analytics

    Data Science and Big Data Analytics 由 EMC Education Services

    出版 2015
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  10. 10
    Practical Text Analytics

    Practical Text Analytics 由 Struhl Steven

    出版 2015
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