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Setareh Rafatirad – författare

Visar alla böcker från författaren Setareh Rafatirad. Handla med fri frakt och snabb leverans.

3 produkter

  1. Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao - Machine Learning for Computer Scientists and Data Analysts, Inbunden. Tillgänglighet: Lägg i varukorg

    Machine Learning for Computer Scientists and Data Analysts

    From an Applied Perspective

    Av Setareh Rafatirad, Houman Homayoun m. fl.

    Inbunden, 2022

    1190 kr

    Lägg i varukorg

    This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to …

  2. Sai Manoj Pudukotai Dinakarrao, Zhiqian Chen, Houman Homayoun, Setareh Rafatirad - Machine Learning for Computer Scientists and Data Analysts, E-bok. Tillgänglighet: Lägg i varukorg

    Machine Learning for Computer Scientists and Data Analysts

    From an Applied Perspective

    Av Sai Manoj Pudukotai Dinakarrao, Zhiqian Chen m. fl.

    E-bok, 2022

    1116 kr

    Lägg i varukorg

    This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to …

  3. Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao - Machine Learning for Computer Scientists and Data Analysts, Häftad. Tillgänglighet: Lägg i varukorg

    Machine Learning for Computer Scientists and Data Analysts

    From an Applied Perspective

    Av Setareh Rafatirad, Houman Homayoun m. fl.

    Häftad, 2023

    867 kr

    Lägg i varukorg

    This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to …