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  • Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains : SpringerBriefs in Electrical and Computer Engineering - Xi-Ren Cao
    Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains
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    Xi-Ren Cao
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  • Fundamentals of Data Analytics : With a View to Machine Learning - Rudolf Mathar
    Fundamentals of Data Analytics
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    Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda and Arash Behboodi
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  • The Statistics and Calculus with Python Workshop : A comprehensive introduction to mathematics in Python for artificial intelligence applications - Peter Farrell
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    Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen and Marios Tsatsos
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  • Supervised Machine Learning : Optimization Framework and Applications with SAS and R - Tanya Kolosova
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  • Smart Data Discovery Using SAS Viya : Powerful Techniques for Deeper Insights - Felix Liao
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    Felix Liao
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  • Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python - Basilio de Braganca Pereira
    Statistical Learning Using Neural Networks
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  • Algorithmic Trading and Quantitative Strategies - Raja Velu
    Algorithmic Trading and Quantitative Strategies
    Raja Velu, Maxence Hardy and Daniel Nehren
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  • Advanced R 4 Data Programming and the Cloud : Using PostgreSQL, AWS, and Shiny - Matt Wiley
    Advanced R 4 Data Programming and the Cloud
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    Matt Wiley and Joshua F. Wiley
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  • Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 - Matúš Maciak
    Analytical Methods in Statistics
    AMISTAT, Liberec, Czech Republic, September 2019
    Matúš Maciak, Michal Pešta and Martin Schindler
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  • R Markdown Cookbook : Chapman & Hall/CRC The R Series - Yihui Xie
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    Yihui Xie, Christophe Dervieux and Emily Riederer
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  • Digital Technologies - an Overview of Concepts, Tools and Techniques Associated with it - Editor IJSMI
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  • Applied Spatial Statistics and Econometrics : Data Analysis in R - Katarzyna Kopczewska
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    Katarzyna Kopczewska
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  • Microsoft Excel : Microsoft Excel User Interface, Excel Basics, Function, Database, Financial Analysis, Matrix, Statistical Analysis - Steven Bright
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    Steven Bright
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  • Numerical Semigroups : IMNS 2018 - Valentina Barucci
    Numerical Semigroups
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    Valentina Barucci, ?Scott Chapman and ?Marco D'Anna
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  • Introduction to Time Series Modeling with Applications in R : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Genshiro Kitagawa
    Introduction to Time Series Modeling with Applications in R
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    Genshiro Kitagawa
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  • Detecting Regime Change in Computational Finance : Data Science, Machine Learning and Algorithmic Trading - Jun Chen
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    Jun Chen and Edward P K Tsang
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  • Hands-On Gradient Boosting with XGBoost and scikit-learn : Perform accessible machine learning and extreme gradient boosting with Python - Corey Wade
    Hands-On Gradient Boosting with XGBoost and scikit-learn
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    Corey Wade and Kevin Glynn
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  • An Introduction to Clustering with R : Mathematics and Statistics (R0) - Paolo Giordani
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    Paolo Giordani, Maria Brigida Ferraro and Francesca Martella
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  • Classification and Data Analysis : Theory and Applications - Krzysztof Jajuga
    Classification and Data Analysis
    Theory and Applications
    Krzysztof Jajuga, Jacek Batog and Marek Walesiak
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  • Computer Networks : 27th International Conference, CN 2020, Gda?sk, Poland, June 23-24, 2020, Proceedings - Wojciech Guminski
    Computer Networks
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    Wojciech Guminski, Andrzej Kwiecien and Piotr Gaj
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  • Signal Detection for Medical Scientists : Likelihood Ratio Test-based Methodology - Ram Tiwari
    Signal Detection for Medical Scientists
    Likelihood Ratio Test-based Methodology
    Ram Tiwari, Jyoti Zalkikar and Lan Huang
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  • Cryptography Algorithms : A guide to algorithms in blockchain, quantum cryptography, zero-knowledge protocols, and homomorphic encryption - Massimo Bertaccini
    Cryptography Algorithms
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    Massimo Bertaccini
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  • Luminescence : Data Analysis and Modeling Using R - Vasilis Pagonis
    Luminescence
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    Vasilis Pagonis
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  • Let's Play with Excel - Anurag Pandey
    Let's Play with Excel
    Anurag Pandey
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  • Asymptotic Statistical Inference : A Basic Course Using R - Shailaja Deshmukh
    Asymptotic Statistical Inference
    A Basic Course Using R
    Shailaja Deshmukh and Madhuri Kulkarni
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  • Let's Calculate Bach : Applying Information Theory and Statistics to Numbers in Music - Alan Shepherd
    Let's Calculate Bach
    Applying Information Theory and Statistics to N...
    Alan Shepherd
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  • Segmentation Analytics with SAS Viya : An Approach to Clustering and Visualization - Randall S. Collica
    Segmentation Analytics with SAS Viya
    An Approach to Clustering and Visualization
    Randall S. Collica
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  • Statistical Learning and Modeling in Data Analysis : Methods and Applications - Simona Balzano
    Statistical Learning and Modeling in Data Analysis
    Methods and Applications
    Simona Balzano, Giovanni C. Porzio, Renato Salvatore, Domenico Vistocco and Maurizio Vichi
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  • Data Science Techniques for Cryptocurrency Blockchains : Behaviormetrics: Quantitative Approaches to Human Behavior : Book 9 - Innar Liiv
    Data Science Techniques for Cryptocurrency Blockchains
    Behaviormetrics: Quantitative Approaches to Hum...
    Innar Liiv
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  • Markov Renewal and Piecewise Deterministic Processes : Mathematics and Statistics (R0) - Christiane Cocozza-Thivent
    Markov Renewal and Piecewise Deterministic Processes
    Mathematics and Statistics (R0)
    Christiane Cocozza-Thivent
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  • Frontiers in Statistical Quality Control 13 : Springer Nature Proceedings excluding Computer Science - Sven Knoth
    Frontiers in Statistical Quality Control 13
    Springer Nature Proceedings excluding Computer ...
    Sven Knoth and Wolfgang Schmid
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  • Think Bayes - Allen B. Downey
    Think Bayes
    Allen B. Downey
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  • Machine Learning in Action - Peter Harrington
    Machine Learning in Action
    Peter Harrington
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  • R in Action : Data analysis and graphics with R - Robert I. Kabacoff
    R in Action
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    Robert I. Kabacoff
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  • Practical Recommender Systems - Kim Falk
    Practical Recommender Systems
    Kim Falk
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  • Behavioral Data Analysis with R and Python - Florent Buisson
    Behavioral Data Analysis with R and Python
    Florent Buisson
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  • Introduction to Chemical Engineering Analysis Using Mathematica : for Chemists, Biotechnologists and Materials Scientists - Henry C. Foley
    Introduction to Chemical Engineering Analysis Using Mathematica
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    Henry C. Foley
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  • Data Mining with SPSS Modeler : Theory, Exercises and Solutions - Tilo Wendler
    Data Mining with SPSS Modeler
    Theory, Exercises and Solutions
    Tilo Wendler and Sören Gröttrup
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  • Algorithms for Computational Biology : 8th International Conference, AlCoB 2021, Missoula, MT, USA, June 7-11, 2021, Proceedings - Carlos Martín-Vide
    Algorithms for Computational Biology
    8th International Conference, AlCoB 2021, Misso...
    Carlos Martín-Vide, Miguel A. Vega-Rodríguez and Travis Wheeler
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  • JMP for Mixed Models - Ruth Hummel
    JMP for Mixed Models
    Ruth Hummel, Elizabeth A. Claassen and Russell D. Wolfinger
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  • Mathematica by Example - Martha L. Abell
    Mathematica by Example
    Martha L. Abell and James P. Braselton
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  • MATLAB For Dummies - John Paul Mueller
    MATLAB For Dummies
    John Paul Mueller and Jim Sizemore
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  • A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R - Alese Wooditch
    A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R
    Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza and Samuel Langton
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  • Javascript for R : Chapman & Hall/CRC The R Series - John Coene
    Javascript for R
    Chapman & Hall/CRC The R Series
    John Coene
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  • Artificial Intelligence in Medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings - Allan Tucker
    Artificial Intelligence in Medicine
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    Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues and David Riaño
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  • Modelling Non-Markovian Quantum Systems Using Tensor Networks : Springer Theses - Aidan Strathearn
    Modelling Non-Markovian Quantum Systems Using Tensor Networks
    Springer Theses
    Aidan Strathearn
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  • Parallel Problem Solving from Nature - PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II - Thomas Bäck
    Parallel Problem Solving from Nature - PPSN XVI
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    Thomas Bäck, ?Mike Preuss and ?André Deutz
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  • Parallel Problem Solving from Nature - PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I - Thomas Bäck
    Parallel Problem Solving from Nature - PPSN XVI
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    Thomas Bäck, Mike Preuss, André Deutz, Hao Wang and Heike Trautmann
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  • Discrete Structure and Automata Theory for Learners : Learn Discrete Structure Concepts and Automata Theory with JFLAP - Ms. Sukhpreet Kaur Gill
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  • Applied Statistics for Business and Management using Microsoft Excel : Business and Management (R0) - Linda Herkenhoff
    Applied Statistics for Business and Management using Microsoft Excel
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    Linda Herkenhoff and John Fogli
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  • Introduction to Geographic Information Systems - Falguni Mukherjee
    Introduction to Geographic Information Systems
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  • Introduction to Political Analysis in R : Chapman & Hall/CRC The R Series - H. Whitt Kilburn
    Introduction to Political Analysis in R
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  • Data Clustering with Python : From Theory to Implementation - Guojun Gan
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    Guojun Gan
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  • Beyond the T-Test : Mathematics and Statistics (R0) - Scott A. Pardo
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  • Supervised and Unsupervised Statistical Data Analysis : Springer Nature Proceedings excluding Computer Science - Antonio D'Ambrosio
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    Antonio D'Ambrosio, Mark de Rooij, Kim De Roover, Carmela Iorio and Michele La Rocca
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  • Data Science and Machine Learning : Mathematical and Statistical Methods, Second Edition - Zdravko Botev
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  • Emerging Trends in Decision Support: Methodology, Algorithms and Applications : Proceedings of the International Colloquium MOAD24 - Fazia Bedouhene
    Emerging Trends in Decision Support: Methodology, Algorithms and Applications
    Proceedings of the International Colloquium MOAD24
    Fazia Bedouhene, Hacène Belbachir and Moussa Larbani
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  • Reskilling and Upskilling in the Age of AI : A Practical Guide to Workforce Transformation - Joanna Rosak-Szyrocka
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  • Statistical Models and Learning Methods for Complex Data : Springer Nature Proceedings excluding Computer Science - Giuseppe Giordano
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    Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino and Maurizio Vichi
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  • Linear Dimensionality Reduction : Mathematics and Statistics (R0) - Alain Franc
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  • Group Sequential and Confirmatory Adaptive Designs in Clinical Trials : Mathematics and Statistics (R0) - Gernot Wassmer
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    Gernot Wassmer and Werner Brannath
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  • Statistics for Scientists : A Concise Guide for Data-driven Research - Umberto Michelucci
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  • Mastering Health Data Science Using R - Alice Paul
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  • Theoretical Ecology : Concepts and Models with R - Ryan Chisholm
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  • Why AI/Data Science Projects Fail : How to Avoid Project Pitfalls - Joyce Weiner
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  • Advanced Statistical Methods in Life Science - Basavarajaiah D.M
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  • Proceedings of International Conference on Information Technology and Applications : ICITA 2024 - Abrar Ullah
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  • Modeling Financial Time Series with S-PLUS - Eric Zivot
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  • Likelihood Ratio Tests and Related Topics in Multivariate Analysis : Selected Contributions of Carlos A. Coelho - Barry C. Arnold
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    Barry C. Arnold, Ashis SenGupta and Gratiela Boca
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  • R Coding for Ecology : Biomedical and Life Sciences (R0) - Duccio Rocchini
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  • Multivariate Statistics and Machine Learning in R For Beginners : With Applications in Biology and Medicine - Andreas Tilevik
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  • Stochastic Models, Statistics and Their Applications : SMSA 2024, Delft, The Netherlands, March 13-15 - Ansgar Steland
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