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Paperback or Softback. Zustand: New. Big Data Collecting and New Media Content Analysis: Research Method. Book.

Zustand: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Routledge Pub Date: 11/16/2017 Binding: Hardcover Pages: 180 First edition.

Zustand: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Routledge Pub Date: 11/16/2017 Binding: Hardcover Pages: 180 First edition.

Zustand: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Routledge Pub Date: 11/16/2017 Binding: Hardcover Pages: 180 First edition.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-02 Pages: 157 Publisher: Tsinghua University Press In the commercial field. EXCEL. as the application-based data processing software. has the most extensive data storage file. Among statistical analysis software. SPSS is recognized as a commercial data statistical analysis software with wide application. easy operation. user-friendly interface and quick entry. This book is based on EXCEL2013 and SPSS20 as operating tools. and introduces the relevant .

paperback. Zustand: New. Paperback. Pub Date: 2024-01 Pages: 228 Publisher: Lixin Accounting Books and Supplies: The main contents of this book are as follows: Project 1. Getting Started with Data Analysis - Business Intelligence Basics; Project 2. Data Analysis Tool - PowerBI; Project 3. PowerBI First Experience - Quick Practice of Data Analysis and Visualization; Project 4. Organizing Dirty Data - PowerBI Data Preprocessing; Project 5. Understanding DAX Language - PowerBII Data Modeling; Project 6. A Picture is Wor.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-03 Pages: 228 Publisher: People's Posts and Telecommunications Press This tutorial uses Microsoft PowerBI as a data analysis tool. and divides 10 projects into three progressive learning stages: application introduction. advanced improvement. and financial comprehensive application. Application introduction includes 5 projects: financial big data and visual analysis cognition. PowerBI initial experience. data acquisition and organization. data modeli.

paperback. Zustand: New. Paperback. Pub Date: 2023-12 Pages: 280 Publisher: Tsinghua University Press: This book uses Microsoft PowerBI as a data analysis tool. Based on the learning situation of students majoring in economics and management. the learning process is divided into three stages: introduction. detailed explanation. and application. which are specifically divided into 9 chapters. Introduction includes big data and big data analysis. PowerBI introduction. and quick application of PowerBI; detailed explanat.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-05 Pages: 216 Publisher: Posts and Telecommunications Press This book explains the basics of data analysis and introduces related methods and concepts for beginners of data analysis and visualization. The book is divided into 9 chapters. including an overview of data analysis. storage and reading of data sets. NumPy array and matrix operations. Pandas high-performance data structure and data analysis tools. data preprocessing. Matplotlib visualizatio.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-09 Publisher: Tsinghua University Press This book has 4 chapters. namely Python Basics. Financial Big Data Analysis. Financial Big Data Visualization. and Financial Big Data Decision-making. Python Basics includes: Building and coding standards for the development environment under Windows; operators. expressions. and built-in functions; program control structures; iterable sequence structures; Python functions; file and folder operations. Financial .

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-11 Pages: 236 Publisher: China Machinery Press This book integrates knowledge from multiple disciplines such as vehicle engineering. information engineering. and computer technology. and combines theory with practice. It systematically introduces the development trend. theoretical basis and mining technology. application technology and examples of the integration of new energy vehicles and big data from the aspects of new energy vehicle data foundati.

Paperback. Zustand: new. Paperback. A Methodology for the Data-Driven Age: Navigating the New Frontier of Content AnalysisIn an era where information streams are relentless, fragmented, and colossal, the traditional tools of media research have proven inadequate. "Big Data Collecting and New Media Content Analysis (Research Method)" emerges not merely as a textbook, but as a crucial methodology for any researcher, student, or practitioner attempting to derive actionable intelligence from the digital deluge.Authored by Dr. Samar Gaber, a prominent researcher in Mass Communication, this work solidifies the bridge between classical analytical rigor and the cutting-edge capabilities of Artificial Intelligence (AI) and Machine Learning (ML). Dr. Gaber, whose background includes extensive work on news coverage, security threats, and the impact of digital platforms on public discourse, brings a uniquely grounded perspective to this complex field. Her expertise allows the book to move beyond abstract theory, providing a robust, practical framework for managing the sheer volume, velocity, and variety of data that characterizes new media.The book is structured to guide the reader through the entire methodological journey, beginning with the fundamental characteristics of Big Data, exploring quantitative, qualitative, and mixed research approaches, and culminating in the essential role of AI, Natural Language Processing (NLP), and emerging social media algorithms. It directly addresses the challenges inherent in analyzing platforms like Instagram, Facebook, and TikTok, framing the analysis not just as a technical exercise but as a guide to future-proofing data-driven decision-making.For too long, media analysis has been hampered by limitations in sample size and susceptibility to self-report bias. Dr. Gaber's research methodology champions the use of large-scale, behavioral datasets to increase the validity and generalizability of findings, offering a comprehensive and less-skewed understanding of media consumption and production. This is an indispensable guide for those who recognize that mastering the methodology of Big Data is the key to unlocking competitive advantage, optimizing content strategies, and understanding the complex, ever-evolving social phenomena driven by digital communication. A definitive, rigorous methodology guide for researchers and analysts navigating the complex landscape of Big Data collection and content analysis in the volatile world of new media. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-04 Pages: 208 Publisher: Tsinghua University Press This book is designed according to the workflow of the financial analyst position and centered on the cultivation of its professional ability. It includes knowledge and skills such as the basic theory of big data. big data analysis technology. corporate financial analysis methods. and financial ability evaluation indicators. This book has designed 8 projects. covering financial big data cognition. da.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

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paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-02 Publisher: Tsinghua University Press This book uses Python 3.9 as a tool for data analysis and mining. The course content includes a basic part and a comprehensive part. The basic part starts with the basic knowledge of Python. and conducts theoretical and practical integrated teaching and practice around the commonly used scientific computing package NumPy. data processing package Pandas. data visualization package Matplotlib. and machine learnin.

Zustand: New. In.

Zustand: New. In.

Zustand: New. pp. 280.

Zustand: New. pp. 344 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.

Taschenbuch. Zustand: Neu. Big Data Analysis: New Algorithms for a New Society | Nathalie Japkowicz (u. a.) | Taschenbuch | Studies in Big Data | xii | Englisch | 2019 | Springer | EAN 9783319800530 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Paperback. Zustand: Brand New. reprint edition. 344 pages. 9.25x6.10x0.91 inches. In Stock.

Hardcover. Zustand: Brand New. 344 pages. 9.50x6.50x1.00 inches. In Stock.

Paperback. Zustand: New. New. book.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-05 Publisher: Tsinghua University Press As one of the most important driving technologies for the rapid development of big data and artificial intelligence industries in the past decade. big data analysis and mining has become an essential technology for business decision-making in various industries. This book keeps up with the forefront of data science and aims to help readers establish a thinking framework for big data analysis and mining. and cul.

paperback. Zustand: New. Paperback.Pub Date:2024-01 Pages:196 Language:Chinese Publisher:Electronic Industry Press Nowadays. data has become a new key factor in improving marketing effectiveness. Marketing data analysis. as a very important activity for enterprises. is a series of activities that use specific technologies to obtain and analyze all available information about the market to help design or optimize specific marketing plans and improve marketing effectiveness. This book was polished by Professor Li Yongf.