Outlier Analysis
Charu C. Aggarwal
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Programming in Parallel with CUDA : A Practical Guide
Richard (University of Cambridge) Ansorge
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Data Science and Machine Learning : Mathematical and Statistical Methods
Alice Y.C. (University of Wales Trinity Saint David, Hong Kong) Te
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An Introduction to Numerical Methods : A MATLAB (R) Approach, Fourth Edition
Abdelwahab Kharab
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Modern Data Science with R
Benjamin S. (Smith College, Northhampton, MA) Baumer
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Applied Meta-Analysis with R and Stata
Ding-Geng (Din) (University of North Carolina, USA) Chen
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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
Andrew B. Lawson
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Linear Mixed Models : A Practical Guide Using Statistical Software
Brady T. (University of Michigan, Ann Arbor, USA) West
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MATLAB and Simulink Crash Course for Engineers
Eklas Hossain
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Bayesian Statistical Modeling with Stan, R, and Python
Kentaro Matsuura
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Computational Statistical Physics
Lucas Boettcher
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Introduction to Environmental Data Science
William W. (University of British Columbia, Vancouver) Hsieh
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Spatial Data Science : With Applications in R
Edzer (Insititte for Geoinformatics, University of Muenster, Pebesma
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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Elias (Universidade Federal do Parana, Curitivba, Brazil) Krainski
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A Course in Mathematical Statistics and Large Sample Theory
Rabi Bhattacharya
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Graphics for Statistics and Data Analysis with R
Kevin J. (University of Northern British Columbia, Prince George Keen
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A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
Alese Wooditch
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Data Science for Public Policy
Jeffrey C. Chen
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook
Joseph F. Hair Jr.
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An Introduction to Statistics with Python : With Applications in the Life Sciences
Thomas Haslwanter
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Modern Statistics : A Computer-Based Approach with Python
Ron S. Kenett
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Basic Elements of Computational Statistics
Wolfgang Karl Hardle
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Spatial Statistics for Data Science : Theory and Practice with R
Paula Moraga
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