2026-07-19T14:51:24Zhttps://ce.visuallibrary.net/ubpb/oai/

oai:ce.visuallibrary.net/ubpb:9865182019-08-10T15:00:20Zubpbcebook

vls/2603nrwcece.visuallibrary.netvdMachine learning with Rexpert techniques for predictive modelingLantz, BrettauttextbookBirmingham, UKMumbaiPacktApril 20192019Third editionmonographicengxiii, 437 SeitenIllustrationen, DiagrammeContents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics.Brett LantzR <Programm>DatenaustauschStatistikMaschinelles LernenBVBBV045884198978-1-78829-586-4HT02014164346641TVU10097(3)+146646640TVU10097(3)2019072420190807TVU10097(3)rda https://ce.visuallibrary.net//domainresource/static/graphics/connectors/viewerLogo.gif http://193.30.112.129:83/F/?func=find-c&ccl_term=ICS%3DTVU10097%283%29 https://ce.visuallibrary.net/id/986518 https://ce.visuallibrary.net/i3f/v20/986518/manifest https://ce.visuallibrary.net/proto_ftsearch/986518