Communication Research in the Big Data Era: The Application of Machine Learning Models and AI Techniques in Communication Research - Hardcover
Synopsis
In the era of big data, knowledge about machine learning and artificial intelligence is becoming crucial for communication researchers navigating the landscape of digital media. This book provides foundational knowledge and techniques to empower researchers to leverage ML and AI at the intersection of communication and data science.
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About the Author
Xiaoqun Zhang is associate professor in the Mayborn School of Journalism at University of North Texas.
"About this title" may belong to another edition of this title.
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Communication Research in the Big Data Era: The Application of Machine Learning Models and AI Techniques in Communication Research
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Communication Research in the Big Data Era
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Communication Research in the Big Data Era
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ISBN 10: 1666946613
ISBN 13: 9781666946611
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Communication Research in the Big Data Era: The Application of Machine Learning Models and AI Techniques in Communication Research
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Communication Research in the Big Data Era (Hardcover)
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Bloomsbury Publishing Plc, 2024
ISBN 10: 1666946613
ISBN 13: 9781666946611
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Hardcover. Condition: new. Hardcover. In this book, Xiaoqun Zhang argues that acquiring knowledge of machine learning (ML) and artificial intelligence (AI) tools is increasingly imperative for the trajectory of communication research in the era of big data. Rather than simply being a matter of keeping pace with technological advances, Zhang posits that these tools are strategically imperative for navigating the complexities of the digital media landscape and big data analysis, and they provide powerful methodologies empowering researchers to uncover nuanced insights and trends within the vast expanse of digital information. Although this can be a daunting notion for researchers without a formal background in mathematics or computer science, this book highlights the substantial rewards of investing time and effort into the endeavor mastery of ML and AI not only facilitates more sophisticated big data analyses, but also fosters interdisciplinary collaborations, enhancing the richness and depth of research outcomes. This book will serve as a foundational resource for communication scholars by providing essential knowledge and techniques to effectively leverage ML and AI at the intersection of communication research and data science. In the era of big data, knowledge about machine learning and artificial intelligence is becoming crucial for communication researchers navigating the landscape of digital media. This book provides foundational knowledge and techniques to empower researchers to leverage ML and AI at the intersection of communication and data science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781666946611
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Communication Research in the Big Data Era (Hardcover)
Published by
Bloomsbury Publishing Plc, 2024
ISBN 10: 1666946613
ISBN 13: 9781666946611
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Hardcover. Condition: new. Hardcover. In this book, Xiaoqun Zhang argues that acquiring knowledge of machine learning (ML) and artificial intelligence (AI) tools is increasingly imperative for the trajectory of communication research in the era of big data. Rather than simply being a matter of keeping pace with technological advances, Zhang posits that these tools are strategically imperative for navigating the complexities of the digital media landscape and big data analysis, and they provide powerful methodologies empowering researchers to uncover nuanced insights and trends within the vast expanse of digital information. Although this can be a daunting notion for researchers without a formal background in mathematics or computer science, this book highlights the substantial rewards of investing time and effort into the endeavor mastery of ML and AI not only facilitates more sophisticated big data analyses, but also fosters interdisciplinary collaborations, enhancing the richness and depth of research outcomes. This book will serve as a foundational resource for communication scholars by providing essential knowledge and techniques to effectively leverage ML and AI at the intersection of communication research and data science. In the era of big data, knowledge about machine learning and artificial intelligence is becoming crucial for communication researchers navigating the landscape of digital media. This book provides foundational knowledge and techniques to empower researchers to leverage ML and AI at the intersection of communication and data science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781666946611
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Communication Research in the Big Data Era: The Application of Machine Learning Models and Ai Techniques in Communication Research
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Communication Research in the Big Data Era | The Application of Machine Learning Models and AI Techniques in Communication Research
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Buch. Condition: Neu. Communication Research in the Big Data Era | The Application of Machine Learning Models and AI Techniques in Communication Research | Xiaoqun Zhang | Buch | Englisch | 2024 | Lexington Books | EAN 9781666946611 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 129738206
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Communication Research in the Big Data Era : The Application of Machine Learning Models and AI Techniques in Communication Research
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, Xiaoqun Zhang argues that acquiring knowledge of machine learning (ML) and artificial intelligence (AI) tools is increasingly imperative for the trajectory of communication research in the era of big data. Rather than simply being a matter of keeping pace with technological advances, Zhang posits that these tools are strategically imperative for navigating the complexities of the digital media landscape and big data analysis, and they provide powerful methodologies empowering researchers to uncover nuanced insights and trends within the vast expanse of digital information. Although this can be a daunting notion for researchers without a formal background in mathematics or computer science, this book highlights the substantial rewards of investing time and effort into the endeavor - mastery of ML and AI not only facilitates more sophisticated big data analyses, but also fosters interdisciplinary collaborations, enhancing the richness and depth of research outcomes. This book will serve as a foundational resource for communication scholars by providing essential knowledge and techniques to effectively leverage ML and AI at the intersection of communication research and data science. Seller Inventory # 9781666946611