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Applied Machine Learning with Python

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  • 200 Seiten
  • 7 Lesestunden

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This book was designed and written in a concise manner to be primarily used for practitioners, and therefore it can be considered as a reference for the main models used in today's business. It also guides the readers into different methods, ranging from Bagging to the modern XGBoost, which is probably the first-best choice for any practitioner in machine learning. This is actually a strong point of this book since, up to now, no book has been written giving particular attention to these recent ensemble methods.

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Applied Machine Learning with Python, Andrea Giussani

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Erscheinungsdatum
2020
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