Publicado por Springer International Publishing, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811561354 ISBN 13: 9789811561351
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.And finally, the third section of the bookfocuses on two programming languages commonly used for data science projects i.e. Python and R programming language.Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics.'This book delivers a systematic, carefully thoughtful material on Data Science.'from the Foreword by Witold Pedrycz, U Alberta, Canada.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Springer International Publishing AG, CH, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
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Añadir al carritoPaperback. Condición: New. 2nd ed. 2023.
Publicado por Springer Nature Singapore, Springer Nature Singapore Jun 2021, 2021
ISBN 10: 9811561354 ISBN 13: 9789811561351
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
Publicado por Springer International Publishing AG, CH, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
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Añadir al carritoPaperback. Condición: New. 2nd ed. 2023.
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
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Añadir al carritoCondición: New. This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of.
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Publicado por Springer International Publishing, Springer Nature Switzerland Apr 2023, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Original o primera edición
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines.The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book.This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch.
Publicado por Springer-Nature New York Inc, 2023
ISBN 10: 3031174410 ISBN 13: 9783031174414
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 498 pages. 9.25x6.10x1.01 inches. In Stock.