In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.[8] The related terms data dredging, data fishing...
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classificat
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition | 트레버 해이스티, 로버트 팁시라니 (지은이), Springer Verlag, 9780387848570, 99,000원, 외국도서 > 과학/수학/생태 > 수학 > 확률과 통계 > 일반
as data mining, machine learning, and bioinformatics. Many of these tools have common... While the approach is statistical, the emphasis is on concepts rather than mathematics. Many...
자료유형 : 단행본, 서명/저자사항 : The Elements of Statistical Learning: Data Mining, Inference, and Prediction/ Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome, 개인저자 : Hastie, Trevor, 발행사항 : 캐나다: Springer, 2001, 형태사항 : xvi, 533+ 없음, 총서사항 : Springer Series in Statistics; ISBN : 9780387952840, 분류기호 : 310.11, 언어 : 영어
Dive deep into the statistical and data mining techniques to get useful insights out of your data
Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
서명 / 저자 : The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman. 저자명 : Hastie, Trevor. Tibshirani, Robert. ; Friedman, J. H. (Jerome H.), 발행사항 : New York : Springer, 2009, 상세정보 : 네이버 상세보기
관심분야 Statistical Learning and Data Mining High-dimensional Data Analysis Survival Analysis Bayesian Statistics