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Bücher Englische Bücher Machine Learning
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Machine Learning
Xufeng Zhao, Qihui Wu, Hoang Pham (Gebundene Ausgabe, Englisch)
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Beschreibung
This book is designed to provide a well-structured, comprehensive, and practical textbook on machine learning for undergraduate and graduate students in related fields. Through clear and accessible explanations, this book allows readers go master the concepts and techniques of machine learning, equipping them with the ability to solve real-world problems. A distinctive feature of this book is its… emphasis on interpretability. In the world of machine learning, models need not only to be accurate but also to be understandable and explainable. For students, understanding the underlying principles and logic of algorithms is more important than simply using them as black boxes. Therefore, each chapter in this textbook not only introduces the mathematical background and implementation principles of the algorithms but also demonstrates them through detailed Python code, helping readers understand how each algorithm works and providing valuable insights. From the foundational concepts of linear regression and logistic regression to more complex techniques such as deep neural networks, convolutional neural networks, and recurrent neural networks, this book covers the full spectrum of classical algorithms and cutting-edge technologies in machine learning. We also provide in-depth discussions on ensemble learning, reinforcement learning, and Transformer models, addressing some of the most popular topics in the field. Through real-world case studies, we connect these algorithms with practical applications, helping readers better understand how they are used in various scenarios. While focusing on theoretical learning, we also emphasize the development of practical skills. The case studies in each chapter are based on real-world data and cover a variety of domains, including classification, regression, image processing, and natural language processing. Through these case studies, readers will not only grasp the ideas behind the algorithms but also experience how to apply these theories to solve actual problems. Finally, this book includes a special section on large language models, showcasing how machine learning has evolved into today's cutting-edge technology. It guides readers toward the frontier of artificial intelligence, highlighting breakthroughs in natural language understanding and generation. This marks not just an extension of machine learning techniques, but also their profound impact in the realm of language processing. This book is suitable not only for academic teaching but also for scholars and practitioners who wish to deepen their understanding of machine learning. We hope that it helps readers strengthen their theoretical foundation, enhance their practical skills, and pave the way for engaging with frontier research and innovation in this field. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
22.09.2026
Sprache
Englisch
EAN
9783032326386
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Springer Series in Reliability Engineering
Sonderedition
Nein
Autor
Xufeng Zhao, Qihui Wu, Hoang Pham
Einbandart
Gebundene Ausgabe
Buch Untertitel
Algorithms, Python and Applications in Reliability and Engineering Analytics
Schlagwörter
Machine Learning, Deep Learning, Ensemble Learning, Reinforcement Learning, Transformer
Thema-Inhalt
TGP - Fertigungstechnik und Ingenieurwesen
TBD - Konstruktion, Entwurf
TBJ - Mathematik für Ingenieure
GPFC - Kybernetik und Systemtheorie
PBT - Wahrscheinlichkeitsrechnung und Statistik
PBWL - Stochastik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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