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Data Science with Java (Paperback)
Loot Price: R997
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Data Science with Java (Paperback)
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Data Science is booming thanks to R and Python, but Java brings the
robustness, convenience, and ability to scale critical to today's
data science applications. With this practical book, Java software
engineers looking to add data science skills will take a logical
journey through the data science pipeline. Author Michael
Brzustowicz explains the basic math theory behind each step of the
data science process, as well as how to apply these concepts with
Java. You'll learn the critical roles that data IO, linear algebra,
statistics, data operations, learning and prediction, and Hadoop
MapReduce play in the process. Throughout this book, you'll find
code examples you can use in your applications. Examine methods for
obtaining, cleaning, and arranging data into its purest form
Understand the matrix structure that your data should take Learn
basic concepts for testing the origin and validity of data
Transform your data into stable and usable numerical values
Understand supervised and unsupervised learning algorithms, and
methods for evaluating their success Get up and running with
MapReduce, using customized components suitable for data science
algorithms
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