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  • Building a Digital Analytics Organization

    Create Value by Integrating Analytical Processes, Technology, and People into Business Operations

    Series series FT Press Analytics
    Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from ... Leer más

    $53.99 USD

  • Digital Analytics Primer

    Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer, pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and ... Leer más

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  • Data Science for Business

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    Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course ... Leer más

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  • From Big Data to Big Profits

    Success with Data and Analytics

    Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will ... Leer más

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  • Web and Network Data Science

    Modeling Techniques in Predictive Analytics

    de Thomas Miller ...
    Series series FT Press Analytics
    Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.Some books in this field focus either entirely on business issues (e.g ... Leer más

    $86.99 USD

  • Marketing Data Science

    Modeling Techniques in Predictive Analytics with R and Python

    de Thomas Miller ...
    Series series FT Press Analytics
    Now***,*** a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.Building on Miller's pioneering ... Leer más

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  • RapidMiner

    Data Mining Use Cases and Business Analytics Applications

    Edición de Markus Hofmann, Ralf Klinkenberg ...
    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre ... Leer más

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  • Data Mining and Business Analytics with R

    Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and ... Leer más

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  • Manifold Learning Theory and Applications

    Edición de Yun Fu, Yunqian Ma ...
    Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread ... Leer más

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  • Service Industry Databook

    Understanding and Analyzing Sector Specific Data Across 15 Nations

    de B. Elango ...
    Series series Business and Management (R0)
    Locating empirical information on specific service industry characteristics is not an easy task, even for an individual familiar with various sources of data. This book is a quick source of information on service industry statistics across many nations of the world. The reader is introduced to finding key sources of data, building analytical ratios from diverse sources, and understanding the ... Leer más

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  • Everybody Lies

    Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

    An Economist Best Book of the YearA PBS NewsHour Book of the YearAn Entrepeneur Top Business BookAn Amazon Best Book of the Year in Business and LeadershipNew York Times BestsellerForeword by Steven Pinker, author of The Better Angels of our NatureBlending the informed analysis of The Signal and the Noi... ... Leer más

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  • Sports Data Mining

    Series series Computer Science (R0)
    Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an ... Leer más

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