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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
·2019
·30.351 MB
Correspondence Analysis and Data Coding with Java and R (Chapman & Hall CRC Computer Science & Data Analysis)
Fionn Murtagh
·244 Pages
·2005
·1.348 MB
Introduction to Computational Engineering with MATLAB® (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
Timothy Bower
·439 Pages
·2022
·9.413 MB
Hard-Boiled anxiety: the Freudian desires of Dashiell Hammett, Raymond Chandler, Ross Macdonald, and their detectives
Karydes, Karen Huston
·2016
·2.29 MB
Structural Design Optimization Considering Uncertainties: Structures & Infrastructures Book , Vol. 1, Series, Series Editor: Dan M. Frangopol
Tsompanakis, Yannis
·669 Pages
·2008
·6.06 MB
The Analogue of the Group Algebra for Topological Semigroups (Chapman & Hall CRC Research Notes in Mathematics Series)
H. Dzinotyiweyi
·206 Pages
·1984
·7.919 MB
Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
Miltiadis C. Mavrakakis, Jeremy Penzer
·444 Pages
·2021
·5.662 MB
Geographic Data Mining and Knowledge Discovery, Second Edition (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Harvey J. Miller, Jiawei Han
·461 Pages
·2009
·9.432 MB
Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Luis Torgo
·289 Pages
·2010
·1.69 MB
Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall Crc Data Mining and Knowledge Discovery Series)
David Skillicorn
·267 Pages
·2007
·5.846 MB
Analysis, Geometry, and Modeling in Finance: Advanced Methods in Option Pricing (Chapman & Hall Crc Financial Mathematics Series)
Pierre Henry-Labordere
·402 Pages
·2008
·2.536 MB
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)
Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu
·495 Pages
·2021
·22.609 MB
Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Alan Agresti, Maria Kateri
·486 Pages
·2021
·15.625 MB
Multi-Resolution Methods for Modeling and Control of Dynamical Systems (Chapman & Hall CRC Applied Mathematics & Nonlinear Science)
Puneet Singla, John L. Junkins
·304 Pages
·2008
·29.504 MB
Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
George Fernandez
·466 Pages
·2010
·19.539 MB
Normal Mode Analysis: Theory and Applications to Biological and Chemical Systems (Chapman & Hall/CRC Mathematical & Computational Biology)
Qiang Cui, Ivet Bahar
·448 Pages
·2005
·11.784 MB
Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Luis Torgo
·306 Pages
·2011
·7.839 MB
Analyzing Spatial Models of Choice and Judgment (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
David A. Armstrong, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, Howard Rosenthal
·320 Pages
·2020
·40.733 MB
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