Kód: 46246948
This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised lea ... celý popis
Angličtina
Nákupem získáte 89 bodů
Anotace knihy
This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised learning models like regression and classification, and advanced topics like ensemble learning, neural networks, and deep learning. Practical considerations, including handling imbalanced data, feature engineering, and preventing data leakage, are thoroughly discussed to help build robust models. Designed for students, professionals, and enthusiasts alike, this guide provides valuable insights and practical knowledge to navigate and excel in the field of machine learning.
Parametry knihy
Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Technik - Sonstiges
893 Kč
AngličtinaOsobní odběr Praha, Brno a 46512 dalších
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