In this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in extracting valuable insights from vast datasets to drive informed decision-making. Whether you're a seasoned data scientist seeking to deepen your expertise or a newcomer eager to explore the world of machine learning, this book is tailored to meet your needs. Structured around twelve comprehensive chapters, each focusing on a specific aspect of machine learning. From Supervised Machine Learning to Unsupervised Machine Learning, Ensemble Machine Learning, and Self-Supervised Learning, each chapter delves into essential concepts and practical applications, providing clear explanations and hands-on examples to aid comprehension and skill development. Whether you're looking to understand the fundamentals of supervised learning, uncover hidden patterns with unsupervised techniques, harness the power of ensemble methods, or explore cutting-edge self-supervised learning approaches.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in ex. Nº de ref. del artículo: 1590607338
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Taschenbuch. Condición: Neu. Mastering Machine Learning for Data Scientists | New Generation Python Book | N. Rama Rao (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207476015 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 128971735
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in extracting valuable insights from vast datasets to drive informed decision-making. Whether you're a seasoned data scientist seeking to deepen your expertise or a newcomer eager to explore the world of machine learning, this book is tailored to meet your needs. Structured around twelve comprehensive chapters, each focusing on a specific aspect of machine learning. From Supervised Machine Learning to Unsupervised Machine Learning, Ensemble Machine Learning, and Self-Supervised Learning, each chapter delves into essential concepts and practical applications, providing clear explanations and hands-on examples to aid comprehension and skill development. Whether you're looking to understand the fundamentals of supervised learning, uncover hidden patterns with unsupervised techniques, harness the power of ensemble methods, or explore cutting-edge self-supervised learning approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Nº de ref. del artículo: 9786207476015
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in extracting valuable insights from vast datasets to drive informed decision-making. Whether you're a seasoned data scientist seeking to deepen your expertise or a newcomer eager to explore the world of machine learning, this book is tailored to meet your needs. Structured around twelve comprehensive chapters, each focusing on a specific aspect of machine learning. From Supervised Machine Learning to Unsupervised Machine Learning, Ensemble Machine Learning, and Self-Supervised Learning, each chapter delves into essential concepts and practical applications, providing clear explanations and hands-on examples to aid comprehension and skill development. Whether you're looking to understand the fundamentals of supervised learning, uncover hidden patterns with unsupervised techniques, harness the power of ensemble methods, or explore cutting-edge self-supervised learning approaches. Nº de ref. del artículo: 9786207476015
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