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.
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Specifications
Book Details
Publication Year
2017 2017-06-18
Book Type
Computer Programming
Contributors
Author Info
Michael Brzustowicz is a physicist turned data scientist. After a PhD from Indiana University, Michael spent his post doctoral years at Stanford University where he shot high powered Xrays at tiny molecules.
University Books Details
Specialization
Java Programming
Dimensions
Width
7
Height
9
Depth
0.46
Weight
400
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