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  • Just Enough R!

    An Interactive Approach to Machine Learning and Analytics

    Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various ... Read more

    $91.99 CAD

  • Data Mining

    A Tutorial-Based Primer, Second Edition

    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. ... Read more

    $155.99 CAD

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    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... ... Read more

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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 ... Read more

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  • Modeling Techniques in Predictive Analytics

    Business Problems and Solutions with R

    Series series FT Press Analytics
    Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple ... Read more

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  • RapidMiner

    Data Mining Use Cases and Business Analytics Applications

    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 ... Read more

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  • Getting Started with Business Analytics

    Insightful Decision-Making

    Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts ... Read more

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  • 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 ... Read more

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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 ... Read more

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  • Manifold Learning Theory and Applications

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    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 ... Read more

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  • Frontiers in Data Science

    Series series Chapman & Hall/CRC Big Data Series
    Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data ... Read more

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  • Large-Scale Machine Learning in the Earth Sciences

    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    From the Foreword:"While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by AshokSrivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning ... Read more

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