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  1. 1

    Software source code : statistical modeling / by Rao Althar, Raghavendra, Bhattacharyya, Siddhartha, Konar, Debanjan, Samanta, Debabrata

    ISBN: 9783110703399
    Published: Berlin ; Boston : De Gruyter, [2021]
    Table of Contents: “…Natural language processing-based deep learning in the context of statistical modeling for software source code --…”

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  2. 2

    Ethereum for Architects and Developers With Case Studies and Code Samples in Solidity / by Mohanty, Debajani

    ISBN: 9781484240755
    Published: Berkeley, CA : Apress, 2018.

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  3. 3

    Introduction to Python for Engineers and Scientists Open Source Solutions for Numerical Computation / by Nagar, Sandeep

    ISBN: 9781484232040
    Published: Berkeley, CA : Apress, 2018.

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  4. 4

    Practical Free Alternatives to Commercial Software by Oualline, Steve

    ISBN: 9781484230756
    Published: Berkeley, CA : Apress, 2018.

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  5. 5

    Java Image Processing Recipes With OpenCV and JVM / by Modrzyk, Nicolas

    ISBN: 9781484234655
    Published: Berkeley, CA : Apress, 2018.

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  6. 6

    Interactive C# Fundamentals, Core Concepts and Patterns / by Sarcar, Vaskaran

    ISBN: 9781484233399
    Published: Berkeley, CA : Apress, 2018.

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  7. 7

    Beginning Ethical Hacking with Kali Linux Computational Techniques for Resolving Security Issues / by Sinha, Sanjib

    ISBN: 9781484238912
    Published: Berkeley, CA : Apress, 2018.

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  8. 8

    Build Better Chatbots A Complete Guide to Getting Started with Chatbots / by Khan, Rashid

    ISBN: 9781484231111
    Published: Berkeley, CA : Apress, 2018.

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  9. 9

    Build Android-Based Smart Applications Using Rules Engines, NLP and Automation Frameworks / by Mukherjee, Chinmoy

    ISBN: 9781484233276
    Published: Berkeley, CA : Apress, 2018.

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  10. 10

    Practical Apache Spark Using the Scala API / by Chellappan, Subhashini

    ISBN: 9781484236529
    Published: Berkeley, CA : Apress, 2018.

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  11. 11

    Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples / by Mukhopadhyay, Sayan

    ISBN: 9781484234501
    Published: Berkeley, CA : Apress, 2018.

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  12. 12

    Deep Learning for Natural Language Processing Creating Neural Networks with Python / by Goyal, Palash

    ISBN: 9781484236857
    Published: Berkeley, CA : Apress, 2018.

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  13. 13

    MySQL Connector/Python Revealed SQL and NoSQL Data Storage Using MySQL for Python Programmers / by Krogh, Jesper Wisborg

    ISBN: 9781484236949
    Published: Berkeley, CA : Apress, 2018.

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  14. 14

    Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems / by Sarkar, Dipanjan

    ISBN: 9781484232071
    Published: Berkeley, CA : Apress, 2018.

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  15. 15

    Applied Natural Language Processing with Python Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / by Beysolow II, Taweh

    ISBN: 9781484237335
    Published: Berkeley, CA : Apress, 2018.

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  16. 16

    Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks / by Michelucci, Umberto

    ISBN: 9781484237908
    Published: Berkeley, CA : Apress, 2018.

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  17. 17

    Applied Analytics through Case Studies Using SAS and R Implementing Predictive Models and Machine Learning Techniques / by Gupta, Deepti

    ISBN: 9781484235256
    Published: Berkeley, CA : Apress, 2018.

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  18. 18

    Introduction to Octave For Engineers and Scientists / by Nagar, Sandeep

    ISBN: 9781484232019
    Published: Berkeley, CA : Apress, 2018.

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  19. 19

    DevOps for SharePoint With Packer, Terraform, Ansible, and Vagrant / by Medina, Oscar

    ISBN: 9781484236888
    Published: Berkeley, CA : Apress, 2018.

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  20. 20

    Computational Plasticity for Finite Elements A Fortran-Based Introduction / by Trapp, Michael

    ISBN: 9783319772066
    ISSN: 2191-5342
    Published: Cham : Springer International Publishing, 2018.

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