Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Analytics Using Open-Source ToolsISBN13:9781365270413ISBN10:1365270416Author:Strickland, Jeffrey (Author)Description:This Book Is About Data Analytics In That Respect, It Is Like Others What Distinguishes It From The Rest Is The Variety Of Open-Source Tool Applications This Book Incorporates The Use Of R Studio, Python, Sas Studio (University Edition), And Knime This Book Is Also About Manipulating Big Data Apache Hadoop On Hortonworks Sandbox Is Introduced And We Manage, Move, Handle, And Transform Data Using Apache Hive, Apache Spark, Mapreduce And Tez, With Terminal Shell Commands And Ambari We Show You How To Set Up A Virtual Machine In Microsoft Azure We Then Use The Data In Later Chapters For Modeling We Cover Descriptive Modeling And Predictive The Content Includes Support Vector Machines, Decision Tree Learning, Random Forests, Na Ve And Empirical Bayes, Gradient Boosting, Cluster Modeling, Generalized Linear Models, Logistic Regression, And Artificial Neural Networks Every Chapter Includes Completely Worked Examples Using One Or More Open-Source Tools Binding:Paperback, PaperbackPublisher:LULU PRPublication Date:2016-08-12Weight:2.25 lbsDimensions:1.55'' H x 9.02'' L x 5.98'' WNumber of Pages:706Language:English
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Book Title: Data Analytics Using Open-Source Tools
Item Length: 9in
Item Height: 1.5in
Item Width: 6in
Author: Jeffrey Strickland
Format: Trade Paperback
Language: English
Topic: General
Publisher: Lulu Press, Inc.
Publication Year: 2016
Genre: Business & Economics
Item Weight: 42.6 Oz
Number of Pages: 706 Pages