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Data Analytics Using Open-Source Tools (Paperback)
Loot Price: R1,298
Discovery Miles 12 980
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Data Analytics Using Open-Source Tools (Paperback)
Expected to ship within 10 - 15 working days
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This book is about Data Analytics. In that respect, it is like
others. What distinguishes it from the rest is the variety of
open-source tool applications. This book incorporates the use of R
Studio, Python, SAS Studio (University Edition), and KNIME. This
book is also about manipulating Big Data. Apache Hadoop on
Hortonworks Sandbox is introduced and we manage, move, handle, and
transform data using Apache Hive, Apache Spark, MapReduce and TEZ,
with terminal shell commands and Ambari. We show you how to set up
a virtual machine in Microsoft Azure. We then use the data in later
chapters for modeling. We cover Descriptive Modeling and
Predictive. The content includes Support Vector Machines, Decision
Tree learning, Random Forests, Naive and Empirical Bayes, Gradient
Boosting, Cluster Modeling, Generalized Linear Models, Logistic
Regression, and Artificial Neural Networks. Every chapter includes
completely worked examples using one or more open-source tools.
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