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  1. 1
    Deep reinforcement learning hands-on : Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more/

    Deep reinforcement learning hands-on : Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more/ by Lapan, Maxim

    Published 2020
    “…Packt Publishing,…”
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    Book
  2. 2
    Mastering C++ multithreading : a comprehensive guide to developing effective multithreading applications in C++ /

    Mastering C++ multithreading : a comprehensive guide to developing effective multithreading applications in C++ / by Posch, Maya

    Published 2017
    “…Packt Publishing,…”
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    e-Book
  3. 3
    Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with Pytorch /

    Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with Pytorch / by Labonne, Maxime

    Published 2023
    “…Packt Publishing,…”
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    e-Book
  4. 4
    Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples /

    Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples / by Masis, Serg, Molak, Aleksander, Rothman, Denis

    Published 2021
    “…Packt Publishing,…”
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    e-Book
  5. 5
    Programming Arduino with LabVIEW : build interactive and fun learning projects with Arduino using LabVIEW /

    Programming Arduino with LabVIEW : build interactive and fun learning projects with Arduino using LabVIEW / by Schwartz, Marco, Manickum, Oliver

    Published 2015
    “…Packt publishing,…”
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    Book
  6. 6
    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 /

    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 / by Mund, Sumit

    Published 2015
    “…Packt Publishing,…”
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    Book
  7. 7
    Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs /

    Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs / by Auffarth, Ben

    Published 2023
    “…Packt Publishing Ltd.,…”
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    e-Book
  8. 8
    Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models.

    Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. by Kapoor, Amita

    Published 2022
    “…Packt Publishing, Limited,…”
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    e-Book
  9. 9
    Hands-On Graph Neural Networks Using Python : Practical Techniques and Architectures for Building Powerful Graph and Deep Learning Apps with Pytorch.

    Hands-On Graph Neural Networks Using Python : Practical Techniques and Architectures for Building Powerful Graph and Deep Learning Apps with Pytorch. by Labonne, Maxime

    Published 2023
    “…Packt Publishing, Limited,…”
    Full-text access
    View in OPAC
    e-Book
  10. 10
    Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples.

    Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. by Mas�is, Serg

    Published 2022
    “…Packt Publishing, Limited,…”
    Full-text access
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    e-Book
  11. 11
    Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs.

    Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs. by Auffarth, Ben

    Published 2023
    “…Packt Publishing, Limited,…”
    Full-text access
    View in OPAC
    e-Book

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