01634cam 22002297i 4500020001800000020001800018082001700036100002900053245007600082250001900158260003900177300003800216500006300254500002000317505012400337520071000461650003701171650003901208942000701247999001701254952013301271 a9781491934111 a978935213573804a005.133bBRZ1 aBrzustowicz, Michael R.,10aData science with Java : practical methods for scientists and engineers aFirst edition. aMumbai :bShroff Publishers,c2017 axii, 220 pages :billustrations ; aOriginally published in Sebastopol, CA. by O'Reilly Media aIncludes index.0 aData I/O -- Linear algebra -- Statistics -- Data operations -- Learning and prediction -- Hadoop MapReduce -- Datasets. aData 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. -- 0aJava (Computer program language) 0aData structures (Computer science) cBK c44319d44319 001040708REFaMAINbMAINcGENd2017-12-29ePurchasedg1600.00l1o005.133 BRZp015582r2023-08-24s2023-08-15w2018-01-18yBK