By PhD Michael R. Brzustowicz
ISBN-10: 1491934115
ISBN-13: 9781491934111
Data technology is booming because of R and Python, yet Java brings the robustness, comfort, and skill to scale severe to today’s information technology purposes. With this sensible e-book, Java software program engineers seeking to upload info technological know-how talents will take a logical trip during the facts technological know-how pipeline. writer Michael Brzustowicz explains the elemental math thought in the back of each one step of the information technological know-how strategy, in addition to the best way to observe those thoughts with Java.
You’ll study the severe roles that facts IO, linear algebra, statistics, info operations, studying and prediction, and Hadoop MapReduce play within the technique. all through this publication, you’ll locate code examples you should use on your applications.
- Examine tools for acquiring, cleansing, and arranging information into its purest form
- Understand the matrix constitution that your information should still take
- Learn easy options for checking out the beginning and validity of data
- Transform your information into sturdy and usable numerical values
- Understand supervised and unsupervised studying algorithms, and strategies for comparing their success
- Get up and operating with MapReduce, utilizing custom-made parts compatible for info technology algorithms
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Data Science with Java: Practical Methods for Scientists and Engineers by PhD Michael R. Brzustowicz
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