Data Science with Java: Practical Methods for Scientists and Engineers

Read [Michael R. Brzustowicz PhD Book] ! Data Science with Java: Practical Methods for Scientists and Engineers Online * PDF eBook or Kindle ePUB free. Data Science with Java: Practical Methods for Scientists and Engineers 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. Data Science is booming thanks to R

Data Science with Java: Practical Methods for Scientists and Engineers

Author :
Rating : 4.96 (677 Votes)
Asin : 1491934115
Format Type : paperback
Number of Pages : 236 Pages
Publish Date : 2017-07-22
Language : English

DESCRIPTION:

Michael specializes in building distributed data systems and extracting knowledge from massive data. After a PhD from Indiana University, Michael spent his post doctoral years at Stanford University where he shot high powered Xrays at tiny molecules. Michael now teaches Big Data, parttime, at the University of San Francisco.. About the AuthorMichael Brzustowicz is a physicist turned data scientist. He spends most of his time writing customized, multithreaded code for statistical modeling and machine learning approaches to everyday big data problems. Jumping ship from academia, he worked at many startups (including his own) and has been pioneering big data techniques all the way

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. 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. Throughout this book, you’ll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its pu

Jumping ship from academia, he worked at many startups (including his own) and has been pioneering big data techniques all the way. Michael specializes in building distributed data systems and extracting knowledge from massive data. Michael now teaches Big Data, parttime, at the University of San Francisco.. 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 pow

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