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  • Classification, (Big) Data Analysis and Statistical Learning

    Series series Springer Nature Proceedings excluding Computer Science
    This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such ... Leer más

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  • Data Science

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    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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  • Data Analysis with R

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    Load, wrangle, and analyze your data using the world\\'s most powerful statistical programming languageKey Features\[\*\]Load, manipulate and analyze data from different sources\[\*\]Gain a deeper understanding of fundamentals of applied statistics\[\*\]A practical guide to performing data analysis in practiceBook DescriptionFrequently the tool of choice for academics, R has spread deep into the ... Leer más

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  • 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

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  • Handbook of Statistical Analysis and Data Mining Applications

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  • An Introduction to R for Quantitative Economics

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    Series series Economics and Finance (R0)
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    de Darren Cook ...
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  • Big and Complex Data Analysis

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    Edición de S. Ejaz Ahmed ...
    Series series Mathematics and Statistics (R0)
    This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now ... Leer más

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  • Statistical and Machine-Learning Data Mining:

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  • Advances in K-means Clustering

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    Series series Computer Science (R0)
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  • Data Mining and Predictive Analysis

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