Algorithms for Data Science

DOI10.1007/978-3-319-45797-0zbMath1367.62005OpenAlexW2565912168MaRDI QIDQ2956500

John P. Chandler, Brian M. Steele, Swarna Reddy

Publication date: 17 January 2017

Full work available at URL: https://doi.org/10.1007/978-3-319-45797-0

zbMATH Keywords

Rcorrelationhistogramalgorithmsdata reductioncluster analysissimilarity measuresforecastinglinear regression\(k\)-means algorithmmatrixvectorcomputationMapReducedata visualizationPythonHadoopdata dictionarydata mapping\(k\)-nearest neighbor predictionassociative statisticscomputing similaritynaïve Bayes prediction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Distributed systems (68M14) Statistical aspects of big data and data science (62R07)

Related Items (1)

O książce B. Steele'a, J. Chandlera i S. Reddy'a ,,Algorytmy dla nauki z danych"

Uses Software

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• Hadoop
• ColorBrewer
• Python
• maxent
• TwitterAPI
• RTextTools
• sentiment
• CRANstats

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