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Statistics, Data Mining, and Machine Learning in Astronomy is the... Læs mere
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This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.
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Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you.
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With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.
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Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic... Læs mere
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Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.
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A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to... Læs mere
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Relational database technologies continue to be predominant in Java enterprise applications, but with newer technologies such as NoSQL databases and Hadoop available,... Læs mere
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Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis.