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  • A Practical Guide
    Eva Bartz; Thomas Bartz-Beielstein; Martin Zaefferer; Olaf Mersmann
    978-981-19-5170-1
    2023
    Edition 1
    • Provides hands-on examples that illustrate how hyperparameter tuning can be applied in industry and academia
    • Gives deep insights into the working mechanisms of machine learning and deep learning
    • This book is open access, which means that you have free and unlimited access
    • Includes code that equips readers to achieve better results with less time, costs, and effort

    Open Access

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