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  • SAS For Dummies - Chris Hemedinger
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    Chris Hemedinger
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  • Floating Point Numerics for Games and Simulations - Nima Badizadegan
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  • MATLAB for Psychologists : Behavioral Science and Psychology (R0) - Mauro Borgo
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    Mauro Borgo, Alessandro Soranzo, Massimo Grassi and Luca Battaglini
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  • Think Stats : Exploratory Data Analysis - Allen B. Downey
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    Allen B. Downey
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  • Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using R, SPSS, Stata, and Excel - Thomas Cleff
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  • Random Number Generators for Computer Simulation and Cyber Security : Design, Search, Theory, and Application - Lih-Yuan Deng
    Random Number Generators for Computer Simulation and Cyber Security
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    Lih-Yuan Deng, Nirman Kumar, Henry Horng-Shing Lu and Ching-Chi Yang
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  • Methodological and Applied Statistics and Demography I : SIS 2024, Short Papers, Plenary and Specialized Sessions - Alessio Pollice
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    Alessio Pollice and Paolo Mariani
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  • A First Course in Statistical Learning : With Data Examples and Python Code - Johannes Lederer
    A First Course in Statistical Learning
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    Johannes Lederer
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  • Applications of Big Data and Machine Learning in Galaxy Formation and Evolution : Series in Astronomy and Astrophysics - Tsutomu T. Takeuchi
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    Tsutomu T. Takeuchi
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  • Methodological and Applied Statistics and Demography II : SIS 2024, Short Papers, Solicited Sessions - Alessio Pollice
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    Alessio Pollice and Paolo Mariani
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  • Flight Safety Management : Quantitative and AI Approaches - Chi-Bin Cheng
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  • Applied Machine Learning Using mlr3 in R - Bernd Bischl
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    Bernd Bischl, Raphael Sonabend, Lars Kotthoff and Michel Lang
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  • Incentive Mechanism for Mobile Crowdsensing : A Game-theoretic Approach - Youqi Li
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    Youqi Li, Fan Li, Song Yang and Chuan Zhang
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    Francesca Lazzeri and Alexei Robsky
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  • Machine Learning Methods : Computer Science (R0) - Hang Li
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    Hang Li, Lu Lin and Huanqiang Zeng
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  • Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications - Hengky Latan
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    Hengky Latan and Richard Noonan
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  • Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata - Giovanni Cerulli
    Fundamentals of Supervised Machine Learning
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    Giovanni Cerulli
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  • Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 - Olga Valenzuela
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    Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares and Ignacio Rojas
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  • Probability Theory : An Introduction Using R - Shailaja R. Deshmukh
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  • Grow with Python Programming : From Basics to Advanced - Mark Fliks
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  • Ultimate Statistical Analysis System (SAS) for Data Analytics : Enhance Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Data Landscape with SAS (English Edition) - Vishesh Dhingra
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    Vishesh Dhingra
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  • Recent Trends and Future Challenges in Learning from Data : Springer Nature Proceedings excluding Computer Science - Cristina Davino
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    Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm and Hans A. Kestler
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  • Getting (more out of) Graphics : Practice and Principles of Data Visualisation - Antony Unwin
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  • Statistics Applied with the R Commander : Data Analysis Is (Not) an Art - Franz Kronthaler
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    Franz Kronthaler
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  • Introduction to Data Science : Data Wrangling and Visualization with R - Rafael A. Irizarry
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    Rafael A. Irizarry
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  • Skew-Normal Model Theories and Their Applications - Rendao Ye
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    Rendao Ye, Wenyan Zhu, Yue Qi and Kun Luo
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  • Data Science : A First Introduction with Python - Tiffany Timbers
    Data Science
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    Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom and Lindsey Heagy
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    Kieran Healy
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    Alex Kolokolov and Maxim Zelensky
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  • R Programming : Statistical Data Analysis in Research - Kingsley Okoye
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    Kingsley Okoye and Samira Hosseini
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  • Elementary Numerical Mathematics for Programmers and Engineers : Mathematics and Statistics (R0) - Gisbert Stoyan
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    Gisbert Stoyan and Agnes Baran
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  • Predictive Analytics and Generative AI for Data-Driven Marketing Strategies : Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management - Hemachandran K
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    Hemachandran K, Debdutta Choudhury, Raul Villamarin Rodriguez, Jorge A. Wise and Revathi T
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  • Efficient Algorithm Design : Unlock the power of algorithms to optimize computer programming - Masoud Makrehchi
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  • Decision Mathematics, Statistical Learning and Data Mining : Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 - Wan Fairos Wan Yaacob
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  • Artificial Neural Networks : Alpha Unpredictability and Chaotic Dynamics - Marat Akhmet
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  • PRACTICAL GUIDE TO LEARN ALGORITHMS : Master Algorithmic Problem-Solving Techniques (2024 Guide for Beginners) - MARTY TWITTY
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  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers : 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers - Oscar Camara
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