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Data Science and Machine Learning
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Bayesian Statistical Methods
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A First Course in Quality Engineering
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Statistical Inference
Adelchi Azzalini
Polya Urn Models
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Sports Math
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SPSS Basics
Deborah Mikyo Oh
Multivariate Statistics and Machine Learning
Daniel J. Denis
IBM SPSS For Intermediate Statistics
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Medical Devices and Data
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Structural Equation Modeling Using R/SAS
Ding-Geng Chen
Large Deviations Applied To Classical and Quantum Field Theory
Harish Parthasarathy
R For Quantitative Chemistry
David K. Gosser
IBM SPSS For Introductory Statistics
George A. Morgan
Combinatorial Optimization Under Uncertainty
Ritu Arora
Models For Non-Modelers
Göran Djurfeldt
Foundations of Data Science With Python
John M. Shea
Foundations of Data Science With Python
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Hands-on Data Analysis in R For Finance
Jean-François Collard
