Deep Learning Models for Economic Research
Offers a comprehensive approach to understanding and applying neural networks and deep learning models in the context of conducting economic research. By guiding readers through real-world examples, complete with Python code and access to datasets, it showcases the practical benefits of neural networks in solving complex economic problems.
octobre 2025, env. 464 pages, Routledge Studies in Economic Theory, Method and Philosophy, Anglais
Taylor and Francis
978-1-041-06270-7
Taylor and Francis
978-1-041-06270-7
Offers a comprehensive approach to understanding and applying neural networks and deep learning models in the context of conducting economic research. By guiding readers through real-world examples, complete with Python code and access to datasets, it showcases the practical benefits of neural networks in solving complex economic problems.
octobre 2025, env. 464 pages, Routledge Studies in Economic Theory, Method and Philosophy, Anglais
Taylor and Francis
978-1-041-06270-7
Taylor and Francis
978-1-041-06270-7
Autres titres de la collection: Routledge Studies in Economic Theory, Method and Philosophy
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