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  • Theoretical Ecology : Concepts and Models with R - Ryan Chisholm
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  • Deep Learning with R, Third Edition - François Chollet
    Deep Learning with R, Third Edition
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  • Modern Time Series with R : Practical forecasting and causal inference with tidy, reproducible workflows - Yeasmin Khandakar
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  • Time Series : A Data Analysis Approach Using R - Robert H. Shumway
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    Neil Millar
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  • Mathematical Foundations of Artificial Intelligence : Basics of Manifold Theory - Momiao Xiong
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    Momiao Xiong
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  • Statistical Rethinking : 2nd Edition - A Bayesian Course with Examples in R and STAN - Richard McElreath
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  • Data Science, Classification, and Artificial Intelligence for Modeling Decision Making - Javier Trejos
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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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    Joanna Rosak-Szyrocka
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  • Handbook of Heuristics : Reference Module Computer Science and Engineering - Rafael Martí
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    Rafael Martí, Panos M. Pardalos and Mauricio G.C. Resende
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  • Introduction to Theory of Computation - Bikash Kanti Sarkar; Ambuj Kumar
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  • Ideals, Varieties, and Algorithms : An Introduction to Computational Algebraic Geometry and Commutative Algebra - David A. Cox
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  • Prompting Causal Events : Artificial Intelligence (R0) - Jordi Vallverdú
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    Jordi Vallverdú
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  • Data Science and Machine Learning : Mathematical and Statistical Methods, Second Edition - Zdravko Botev
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    Zdravko Botev, Dirk P. Kroese and Thomas Taimre
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  • Graph Theory for Computer Science - Manikandan Rajagopal
    Graph Theory for Computer Science
    Manikandan Rajagopal, Ramkumar Sivasakthivel, Joseph Varghese Kureethara, Niranjanamurthy M. and Biswadip Basu Mallik
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  • A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R - Samuel E. Buttrey
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    Samuel E. Buttrey and Lyn R. Whitaker
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  • R Projects For Dummies - Joseph Schmuller
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  • Base SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
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    Vibrant Publishers
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  • Advanced SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
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    Job Interview Questions Series
    Vibrant Publishers
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  • SAS Programming Guidelines Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
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    Job Interview Questions Series
    Vibrant Publishers
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  • Tableau Your Data! : Fast and Easy Visual Analysis with Tableau Software - Daniel G. Murray
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    Daniel G. Murray
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  • A Course in Statistics with R - Prabhanjan Tattar
    A Course in Statistics with R
    Prabhanjan Tattar
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  • Data Science and Big Data Analytics : Discovering, Analyzing, Visualizing and Presenting Data - EMC Education Services
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    EMC Education Services
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  • Data Points : Visualization That Means Something - Nathan Yau
    Data Points
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    Nathan Yau
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  • Ecological Models and Data in R - Benjamin M. Bolker
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    Benjamin M. Bolker
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  • A Survey of Computational Physics : Introductory Computational Science - José Páez
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    José Páez, Cristian C. Bordeianu and Rubin Landau
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  • Visualizing Financial Data - Julie Rodriguez
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    Julie Rodriguez and Piotr Kaczmarek
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  • Statistical Analysis with R For Dummies - Joseph Schmuller
    Statistical Analysis with R For Dummies
    Joseph Schmuller
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  • Using Stata for Quantitative Analysis - Kyle C. Longest
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    Kyle C. Longest
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  • SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
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    Vibrant Publishers
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  • Case-Based Approximate Reasoning - Eyke Hüllermeier
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    Eyke Hüllermeier
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  • Algorithm Collections for Digital Signal Processing Applications Using Matlab - E. S. Gopi
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  • Non-Bayesian Decision Theory : Beliefs and Desires as Reasons for Action - Martin Peterson
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    Martin Peterson
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  • MATLAB Codes for Finite Element Analysis : Solids and Structures - A. J. M. Ferreira
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    A. J. M. Ferreira
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  • Data Mashups in R : A Case Study in Real-World Data Analysis - Jeremy Leipzig
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    Jeremy Leipzig and Xiao-Yi Li
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  • Mathematica Cookbook : Building Blocks for Science, Engineering, Finance, Music, and More - Sal Mangano
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    Sal Mangano
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  • Online Investing Hacks : 100 Industrial-Strength Tips & Tools - Bonnie Biafore
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    Bonnie Biafore
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  • Data Analysis with Open Source Tools : A Hands-On Guide for Programmers and Data Scientists - Philipp K. Janert
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    Philipp K. Janert
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    Ph.D. Ramon C. Littell
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    Gerhard Svolba
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    Paul D. Allison
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    EdD Ron Cody
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  • Missing Data and Small-Area Estimation : Modern Analytical Equipment for the Survey Statistician - Nicholas T. Longford
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  • Optimized Bayesian Dynamic Advising : Theory and Algorithms - Miroslav Karny
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    Nanning Zheng and Jianru Xue
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  • Model Predictive Control System Design and Implementation Using MATLAB® - Liuping Wang
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    Liuping Wang
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  • Engineering with Mathcad : Using Mathcad to Create and Organize your Engineering Calculations - Brent Maxfield
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  • MATLAB for Neuroscientists : An Introduction to Scientific Computing in MATLAB - Pascal Wallisch
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