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  1. 1
    Scaled Forecasting with Python and R / Springer.

    Scaled Forecasting with Python and R / Springer.

    Published 2021
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  2. 2
    SN Video coding and web development. Springer.

    SN Video coding and web development. Springer.

    Published 2020
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  3. 3
    Python machine learning crash course for beginners / AI Sciences.

    Python machine learning crash course for beginners / AI Sciences.

    Published 2021
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  4. 4
    Springer Nature computing video. produced by Springer Nature.

    Springer Nature computing video. produced by Springer Nature.

    Published 2020
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  5. 5
    Springer Nature business video. produced by Springer Nature.

    Springer Nature business video. produced by Springer Nature.

    Published 2021
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  6. 6
    Deep learning.

    Deep learning.

    Published 2023
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  7. 7
    SN Video coding and web development. Springer.

    SN Video coding and web development. Springer.

    Published 2020
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  8. 8
    Real-world machine learning projects with Scikit-Learn / Nikola Živković.

    Real-world machine learning projects with Scikit-Learn / Nikola Živković.

    Published 2018
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  9. 9
    Practical convolutional neural networks / Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari.

    Practical convolutional neural networks / Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari. by Sewak, Mohit, Karim, Rezaul, Pujari, Pradeep

    Published 2018
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  10. 10
    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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  11. 11
    Deep learning for recommender systems : an applied approach / Shahzaib Hamid, AI Sciences Instructor.

    Deep learning for recommender systems : an applied approach / Shahzaib Hamid, AI Sciences Instructor. by Hamid, Shahzaib

    Published 2023
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  12. 12
    Building a recommendation system with R : learn the art of building robust and powerful recommendation engines using R / Suresh K. Gorakala, Michele Usuelli.

    Building a recommendation system with R : learn the art of building robust and powerful recommendation engines using R / Suresh K. Gorakala, Michele Usuelli. by Gorakala, Suresh K., Usuelli, Michele

    Published 2015
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  13. 13
    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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  14. 14
    Keras Deep Learning Cookbook : Over 30 Recipes for Implementing Deep Neural Networks in Python.

    Keras Deep Learning Cookbook : Over 30 Recipes for Implementing Deep Neural Networks in Python. by Dua, Rajdeep

    Published 2018
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  15. 15
    Python machine learning / Wei-Meng Lee.

    Python machine learning / Wei-Meng Lee. by Lee, Wei-Meng

    Published 2019
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  16. 16
    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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  17. 17
    Financial signal processing and machine learning / edited by Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry Malioutov.

    Financial signal processing and machine learning / edited by Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry Malioutov.

    Published 2016
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  18. 18
    Deep Learning for Beginners A Beginner's Guide to Getting up and Running with Deep Learning from Scratch Using Python.

    Deep Learning for Beginners A Beginner's Guide to Getting up and Running with Deep Learning from Scratch Using Python. by Rivas Perea, Pablo, 1980-

    Published 2020
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  19. 19
    Predictive Analytics Using Statistics and Big Data

    Predictive Analytics Using Statistics and Big Data by Mohbey, Krishna Kumar

    Published 2020
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  20. 20
    The the TensorFlow Workshop A Hands-On Guide to Building Deep Learning Models from Scratch Using Real-world Datasets.

    The the TensorFlow Workshop A Hands-On Guide to Building Deep Learning Models from Scratch Using Real-world Datasets. by Moocarme, Matthew

    Published 2021
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