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  • Learning with Partially Labeled and Interdependent Data

    Series series Computer Science (R0)
    This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data.The book traces how the semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, leading ... Leer más

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  • Doing Data Science

    Straight Talk from the Frontline

    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Leer más

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  • Handbook of Statistical Analysis and Data Mining Applications

    The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of ... Leer más

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  • Machine Learning

    An Algorithmic Perspective, Second Edition

    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students ... Leer más

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  • Introduction to Statistics Through Resampling Methods and R

    A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—TechnometricsWritten in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition ... Leer más

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  • Statistical and Machine Learning Approaches for Network Analysis

    Series Libro 707 - Wiley Series in Computational Statistics
    Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book ... Leer más

    $1,849 MXN

  • Categorical Data Analysis

    de Alan Agresti ...
    Series series Wiley Series in Probability and Statistics
    Praise for the Second Edition"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."—Statistics in Medicine"It is a total delight reading this book."—Pharmaceutical Research"If you do any analysis of categorical data, this is an essential desktop reference."—TechnometricsThe use of statistical methods for analyzing categorical data has increased ... ... Leer más

    $2,161 MXN

  • Python for Probability, Statistics, and Machine Learning

    Series series Engineering (R0)
    This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes ... Leer más

    $1,994 MXN

  • R and Data Mining

    Examples and Case Studies

    de Yanchang Zhao ...
    R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as ... 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 Science

    Innovative Developments in Data Analysis and Clustering

    Series series Springer Nature Proceedings excluding Computer Science
    This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth ... Leer más

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  • The Essentials of Data Science: Knowledge Discovery Using R

    Series series Chapman & Hall/CRC The R Series
    The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years’ experience in teaching and practising data science, the author encourages ... Leer más

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