04431cam a2200601Ki 45000010014000000030008000140050017000220060019000390070015000580080041000730400035001140200036001490200033001850200043002180200040002610200018003010200018003190200049003370200046003860200042004320200039004740200015005130200015005280350041005430350024005840500026006080720025006340720025006590720025006840720016007090820017007251000023007422450081007652500019008462640074008653000042009393360026009813370026010073380036010335050547010695201645016165880047032616500051033086500059033596500061034186500034034796500028035136500045035416500052035868560072036388560102037109990017038129781003006695FlBoTFG20260210180854.0m     o  d        cr cnu|||unuuu200528s2020    xx      o     000 0 eng d  aOCoLC-PbengerdaepncOCoLC-P  a9781003006695q(electronic bk.)  a1003006698q(electronic bk.)  a9781000073560q(electronic bk. : EPUB)  a1000073564q(electronic bk. : EPUB)  z9780367443207  z9780367439149  a9781000073539q(electronic bk. : Mobipocket)  a100007353Xq(electronic bk. : Mobipocket)  a9781000073508q(electronic bk. : PDF)  a1000073505q(electronic bk. : PDF)  z036743914X  z0367443201  a(OCoLC)1155637833z(OCoLC)1156472803  a(OCoLC-P)1155637833 4aQA276.45.R3bR65 2020 7aCOMx0180002bisacsh 7aCOMx0210302bisacsh 7aCOMx0210002bisacsh 7aUYQ2bicssc04a005.13/32231 aRoiger, Richard J.10aJust Enough R! :bAn Interactive Approach to Machine Learning and Analytics.  aFirst edition. 1a[Place of publication not identified] :bChapman and Hall/CRC,c2020.  a1 online resource (xviii, 346 pages).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier0 aPreface. Acknowledgment. Author. Introduction to Machine Learning. Introduction to R. Data Structures and Manipulation. Preparing the Data. Supervised Statistical Techniques. Tree-Based Methods. Rule-Based Techniques. Neural Networks. Formal Evaluation Techniques. Support Vector Machines. Unsupervised Clustering Techniques. A Case Study in Predicting Treatment Outcome. Bibliography. Appendix A: Supplementary Materials and More Datasets. Appendix B: Statistics for Performance Evaluation. Subject Index. Index of R Functions. Script Index.  aJust Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided, allowing the reader to execute the scripts as they study the explanations given in the text. Features Gets you quickly using R as a problem-solving tool Uses RStudio's integrated development environment Shows how to interface R with SQLite Includes examples using R's Rattle graphical user interface Requires no prior knowledge of R, machine learning, or computer programming Offers over 50 scripts written in R, including several problem-solving templates that, with slight modification, can be used again and again Covers the most popular machine learning techniques, including ensemble-based methods and logistic regression Includes end-of-chapter exercises, many of which can be solved by modifying existing scripts Includes datasets from several areas, including business, health and medicine, and science About the Author Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato, where he taught and performed research in the Computer and Information Science Department for over 30 years.  aOCLC-licensed vendor bibliographic record. 7aCOMPUTERS / Data Processing / General2bisacsh 7aCOMPUTERS / Database Management / Data Mining2bisacsh 7aCOMPUTERS / Database Management / General2bisacsh95215 0aR (Computer program language) 0aMachine learning.91623 0aData structures (Computer science)91661 0aMathematical statisticsxData processing.91752403Taylor & Francisuhttps://www.taylorfrancis.com/books/9781003006695423OCLC metadata license agreementuhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf  c93171d93170