Data science with Java : practical methods for scientists and engineers
Brzustowicz, Michael R.
creator
text
Mumbai
Shroff Publishers
2017
First edition.
monographic
xii, 220 pages : illustrations ;
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. --
Data I/O -- Linear algebra -- Statistics -- Data operations -- Learning and prediction -- Hadoop MapReduce -- Datasets.
Originally published in Sebastopol, CA. by O'Reilly Media
Includes index.
Java (Computer program language)
Data structures (Computer science)
005.133 BRZ
9781491934111
9789352135738