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  • Data Analysis, Machine Learning and Knowledge Discovery

    Series series Springer Nature Proceedings excluding Computer Science
    Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of ... Leer más

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  • Learning R

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  • Advanced SAS Interview Questions You'll Most Likely Be Asked

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  • Big and Complex Data Analysis

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    Series series Mathematics and Statistics (R0)
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  • Python for Probability, Statistics, and Machine Learning

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  • Deep Text

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  • Statistical Analysis of Network Data with R

    Series series Mathematics and Statistics (R0)
    Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, ... Leer más

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    Series series Springer Nature Proceedings excluding Computer Science
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