Data science with Java: practical methods for scientists and engineers

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Publisher:
O'Reilly Media,
Pub. Date:
[2017]
Language:
English
Description

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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ISBN:
9781491934111
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Grouping Information

Grouped Work IDed2396f5-a826-f785-ecbe-d1d87d4e0245
Grouping Titledata science with java practical methods for scientists and engineers
Grouping Authorbrzustowicz michael r
Grouping Categorybook
Last Grouping Update2019-11-15 11:20:59AM
Last Indexed2019-11-15 04:44:19AM

Solr Details

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subject_facetData structures (Computer science)
Java (Computer program language)
title_displayData science with Java : practical methods for scientists and engineers
title_fullData science with Java : practical methods for scientists and engineers / Michael R. Brzustowicz, PhD
title_shortData science with Java
title_subpractical methods for scientists and engineers