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  • The Basics of Data Literacy : Helping Your Students (and You!) Make Sense of Data - Michael Bowen
    The Basics of Data Literacy
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    Michael Bowen
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  • Working with Biological data in Python and R - Christos Noutsos
    Working with Biological data in Python and R
    Christos Noutsos
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  • Random Models in Biology, Ecology and Evolution - Sylvie Méléard
    Random Models in Biology, Ecology and Evolution
    Sylvie Méléard
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  • Emergence as Harmony : Mathematical Principles of Self-Organization, Complexity, and Collective Behavior - Venkat Venkatasubramanian
    Emergence as Harmony
    Mathematical Principles of Self-Organization, C...
    Venkat Venkatasubramanian
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  • How to Win : A Mathematical Approach to Games and Puzzles - Arthur Benjamin
    How to Win
    A Mathematical Approach to Games and Puzzles
    Arthur Benjamin
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  • Numbers Tell Stories : How Data Can Reveal the Surprising Truths about Our World from the Bestselling Author - Vaclav Smil
    Numbers Tell Stories
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    Vaclav Smil
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    October 20th Release
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  • Statistics and Faith : A Christian Guide to Telling the Truth with Data - Jason Wilson
    Statistics and Faith
    A Christian Guide to Telling the Truth with Data
    Jason Wilson
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  • Networks : Probability and Statistics - A. D. Barbour
    Networks
    Probability and Statistics
    A. D. Barbour and Gesine Reinert
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  • Misclassification in Epidemiology : Mathematics and Statistics (R0) - Tze-San Lee
    Misclassification in Epidemiology
    Mathematics and Statistics (R0)
    Tze-San Lee
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  • Statistical Practice for Data Science : With Hands-On Illustrations Using R - Nalini Ravishanker
    Statistical Practice for Data Science
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    Nalini Ravishanker, Asha Gopalakrishnan and Haim Bar
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  • Linear Algebra with Applications in Machine Learning : From Intuitive Understanding to Python Coding - Jalil Piran Md.
    Linear Algebra with Applications in Machine Learning
    From Intuitive Understanding to Python Coding
    Jalil Piran Md.
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  • Pattern Recognition and Machine Learning for Self-Study I : Supervised Learning - Kenichiro Ishii
    Pattern Recognition and Machine Learning for Self-Study I
    Supervised Learning
    Kenichiro Ishii, Naonori Ueda, Eisaku Maeda and Hiroshi Murase
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  • A Course of Stochastic Analysis : Mathematics and Statistics (R0) - Alexander Melnikov
    A Course of Stochastic Analysis
    Mathematics and Statistics (R0)
    Alexander Melnikov
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  • All of Regression - Isabella Verdinelli
    All of Regression
    Isabella Verdinelli and Larry Wasserman
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  • Bayesian Workflow - Andrew Gelman
    Bayesian Workflow
    Andrew Gelman, Aki Vehtari, Richard McElreath, Daniel Simpson and Vianey Leos Barajas
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    August 28th Release
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  • Risk Analysis in Engineering and Economics - Bilal M. Ayyub
    Risk Analysis in Engineering and Economics
    Bilal M. Ayyub
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    September 30th Release
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  • A Concise Guide to Medical Research - Michael Brimacombe
    A Concise Guide to Medical Research
    Michael Brimacombe
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    September 4th Release
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  • Sample Surveys in Economics and Finance : A Practical Guide - Guillaume Osier
    Sample Surveys in Economics and Finance
    A Practical Guide
    Guillaume Osier
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    August 31st Release
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  • Principles and Practices in Clinical Research : Comprehensive Guide to Methodologies, Ethics, and Regulations - Nidhi
    Principles and Practices in Clinical Research
    Comprehensive Guide to Methodologies, Ethics, a...
    Nidhi
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  • Modern Computing : Principles and Paradigms - Sukhpal Singh Gill
    Modern Computing
    Principles and Paradigms
    Sukhpal Singh Gill
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    September 29th Release
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  • Every Coin Has Two Sides : An Introduction to Causal Inference in Pharmaceutical Statistics - Yixin Fang
    Every Coin Has Two Sides
    An Introduction to Causal Inference in Pharmace...
    Yixin Fang
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    August 24th Release
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  • Blackjack Mathematics for Non-Mathematicians : AK Peters/CRC Recreational Mathematics Series - Mark Bollman
    Blackjack Mathematics for Non-Mathematicians
    AK Peters/CRC Recreational Mathematics Series
    Mark Bollman
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    August 31st Release
    $68.19
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  • Mathematical Tidbits : AK Peters/CRC Recreational Mathematics Series - Jens Cartensen
    Mathematical Tidbits
    AK Peters/CRC Recreational Mathematics Series
    Jens Cartensen
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    September 17th Release
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  • An R Companion to Linear Statistical Models - Christopher Hay-Jahans
    An R Companion to Linear Statistical Models
    Christopher Hay-Jahans
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    September 29th Release
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  • Advanced Basketball Data Science : With Applications in R - Paola Zuccolotto
    Advanced Basketball Data Science
    With Applications in R
    Paola Zuccolotto, Marica Manisera and Marco Sandri
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    August 25th Release
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  • Bayesian Models in Health Technology Assessment : Chapman & Hall/CRC Biostatistics Series - Gianluca Baio
    Bayesian Models in Health Technology Assessment
    Chapman & Hall/CRC Biostatistics Series
    Gianluca Baio
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    September 16th Release
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  • Advanced Data Science and Analytics with Python : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Jesús Rogel-Salazar
    Advanced Data Science and Analytics with Python
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    Jesús Rogel-Salazar
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    August 26th Release
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  • Solar Power Forecasting : Using Time Series and Machine Learning - Natarajan Gautam
    Solar Power Forecasting
    Using Time Series and Machine Learning
    Natarajan Gautam
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    August 31st Release
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  • Regressions in Covariances, Dependencies and Graphs : Chapman & Hall/CRC Texts in Statistical Science - Mohsen Pourahmadi
    Regressions in Covariances, Dependencies and Graphs
    Chapman & Hall/CRC Texts in Statistical Science
    Mohsen Pourahmadi and Aramayis Dallakyan
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  • The Analysis of Time Series : An Introduction with R - Haipeng Xing
    The Analysis of Time Series
    An Introduction with R
    Haipeng Xing and Chris Chatfield
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  • Likelihood and Its Extensions : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Nancy Reid
    Likelihood and Its Extensions
    Chapman & Hall/CRC Monographs on Statistics and...
    Nancy Reid, Cristiano Varin and Grace Y. Yi
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  • Inference in Statistical Modelling and Machine Learning : A Concise Introduction - James Burridge
    Inference in Statistical Modelling and Machine Learning
    A Concise Introduction
    James Burridge and Nick Tosh
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  • Empirical Likelihood Method in Survival Analysis : With R Implementation, Second Edition - Mai Zhou
    Empirical Likelihood Method in Survival Analysis
    With R Implementation, Second Edition
    Mai Zhou
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    September 23rd Release
    $113.99
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  • Multivariate Statistics Beyond Normality - Reinaldo B. Arellano-Valle
    Multivariate Statistics Beyond Normality
    Reinaldo B. Arellano-Valle and Marc G. Genton
    eText
    September 4th Release
    $123.19
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  • Simulation and Power Analysis Using R : Chapman & Hall/CRC The R Series - Brandon LeBeau
    Simulation and Power Analysis Using R
    Chapman & Hall/CRC The R Series
    Brandon LeBeau
    eText
    August 31st Release
    $94.59
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  • Mathematical Modeling of Heavy Metal Transport in Soil - Busayamas Pimpunchat
    Mathematical Modeling of Heavy Metal Transport in Soil
    Busayamas Pimpunchat, V. Govindan, N. Avinash and Mustafa Inc
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    September 1st Release
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  • Practical Statistical Consulting : Learning from Everyday Cases Using R - Lei Hua
    Practical Statistical Consulting
    Learning from Everyday Cases Using R
    Lei Hua
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    October 21st Release
    $131.99
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  • Ship As Wave Buoy : Data-Driven Sea State Estimation Based on Ship Motion Data - Xu Cheng
    Ship As Wave Buoy
    Data-Driven Sea State Estimation Based on Ship ...
    Xu Cheng, Mengna Liu, Fan Shi, Xiufeng Liu and Shengyong Chen
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  • Data Analysis Techniques and Applications : Engineering (R0) - Luis Carlos Méndez-González
    Data Analysis Techniques and Applications
    Engineering (R0)
    Luis Carlos Méndez-González, Isidro Jesús González-Hernández and Manuel Iván Rodríguez Borbón
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  • Machine Learning in Next Generation Multiple Access (NGMA) : Synthesis Collection of Technology (R0) - Mohammad Abdul Matin
    Machine Learning in Next Generation Multiple Access (NGMA)
    Synthesis Collection of Technology (R0)
    Mohammad Abdul Matin and M. Rezwanul Mahmood
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  • The Semantic Web : 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik, Croatia, May 10-14, 2026, Proceedings, Part I - Maribel Acosta
    The Semantic Web
    23rd European Semantic Web Conference, ESWC 202...
    Maribel Acosta, Marieke van Erp, Sebastian Rudolph, Olaf Hartig and Francesco Osborne
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  • Delay and Stochastic Differential Equations : Modelling in Finance, Life Sciences, and Engineering - Elena Braverman
    Delay and Stochastic Differential Equations
    Modelling in Finance, Life Sciences, and Engine...
    Elena Braverman and Anatoliy Swishchuk
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  • Convex and Variational Analysis with Applications : In Honor of Terry Rockafellar's 90th Birthday - Themistocles M. Rassias
    Convex and Variational Analysis with Applications
    In Honor of Terry Rockafellar's 90th Birthday
    Themistocles M. Rassias and Panos M. Pardalos
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  • Database Systems for Advanced Applications : 31st International Conference, DASFAA 2026, Jeju, South Korea, April 27-30, 2026, Proceedings, Part V - Hyungsoo Jung
    Database Systems for Advanced Applications
    31st International Conference, DASFAA 2026, Jej...
    Hyungsoo Jung, Tianzheng Wang, Masashi Toyoda, Hyuk-Yoon Kwon and Jae-woong Lee
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  • Graphical Models : Oxford Statistical Science Series : Book 41 - Steffen L. Lauritzen
    Graphical Models
    Oxford Statistical Science Series : Book 41
    Steffen L. Lauritzen
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  • Reinforcement Learning Explained : A Practical Problem-Solving Approach - Jonas Hellgren
    Reinforcement Learning Explained
    A Practical Problem-Solving Approach
    Jonas Hellgren and Johannes Lindgren
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  • Supernova Cosmology for the 21st Century : How I Learnt to Stop Worrying About Likelihoods and Train a Neural Network - Konstantin Karchev
    Supernova Cosmology for the 21st Century
    How I Learnt to Stop Worrying About Likelihoods...
    Konstantin Karchev
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  • Making Statistics Work : Information Theory and Bayesian Inference - Duncan Foley
    Making Statistics Work
    Information Theory and Bayesian Inference
    Duncan Foley and Ellis Scharfenaker
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  • Recent Trends in Modelling the Continuous Time Series Using Deep Learning : Artificial Intelligence (R0) - Mansura Habiba
    Recent Trends in Modelling the Continuous Time Series Using Deep Learning
    Artificial Intelligence (R0)
    Mansura Habiba, Barak A. Pearlmutter and Mehrdad Maleki
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  • Spatiotemporal Image Understanding : Action, Activity and Behavior - Yu-Jin Zhang
    Spatiotemporal Image Understanding
    Action, Activity and Behavior
    Yu-Jin Zhang
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  • A Course in Regression and Smoothing Methods : Chapman & Hall/CRC Texts in Statistical Science - Zhiqiang Tan
    A Course in Regression and Smoothing Methods
    Chapman & Hall/CRC Texts in Statistical Science
    Zhiqiang Tan
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  • Security and Resilience in Distributed Machine Learning : Challenges, Techniques, and Future Directions - Kai Li
    Security and Resilience in Distributed Machine Learning
    Challenges, Techniques, and Future Directions
    Kai Li, Xin Yuan and Wei Ni
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  • Marketing Analytics and Data Science : Tools and Models - Xiaojing Dong
    Marketing Analytics and Data Science
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    Xiaojing Dong
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  • Multimodal Event Detection on Social Media : Artificial Intelligence (R0) - Zehang Lin
    Multimodal Event Detection on Social Media
    Artificial Intelligence (R0)
    Zehang Lin and Qing Li
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  • Ergodic Theory : A Probabilistic Approach to Dynamical Systems - Alex Blumenthal
    Ergodic Theory
    A Probabilistic Approach to Dynamical Systems
    Alex Blumenthal and Lai-Sang Young
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  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers : 16th International Workshop, STACOM 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Revised Selected Papers - Oscar Camara
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    16th International Workshop, STACOM 2025, Held ...
    Oscar Camara, Esther Puyol Antón, Maxime Sermesant, Charlène Mauge and Alistair Young
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  • Advances in Applied Operations Research and Analytics for Business Intelligence : Proceedings of International Conference on Emerging Trends in Business Analytics and Management Sciences 2024, Volume 2 - Pankaj Dutta
    Advances in Applied Operations Research and Analytics for Business Intelligence
    Proceedings of International Conference on Emer...
    Pankaj Dutta, Sudeep Bapat, Dipak Jana, Anil Kumar and Naoufel Cheikhrouhou
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  • Foundations of Bayesian Statistics for Data Scientists : With R and Python - Alan Agresti
    Foundations of Bayesian Statistics for Data Scientists
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    Alan Agresti, Maria Kateri, Ranjini Grove and Antonietta Mira
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  • Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research - Amir Ahmad Dar
    Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research
    Amir Ahmad Dar and Waseem Z. Lone
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  • Machine Learning with Julia : An Algorithmic Exploration - Jeremiah D. Deng
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    Jeremiah D. Deng
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  • Understanding Data : A 21st Century Approach to Statistics and Data Science - Alan Garfinkel
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    Alan Garfinkel and Yina Guo
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  • Algorithmic Trading via AI/Machine Learning with R - Jason Guevara
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    Jason Guevara, Ri?ards Bulavs and Oskars Linares
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  • In All Likelihood : Statistical Modelling and Inference Using Likelihood - Yudi Pawitan
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    Yudi Pawitan
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  • Research Data that Can Be Trusted : Medicine (R0) - Michael Bouzinier
    Research Data that Can Be Trusted
    Medicine (R0)
    Michael Bouzinier, Dmitry Etin, Naeem Khoshnevis, Max Shad and Scott Yockel
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  • Web and Big Data. APWeb-WAIM 2025 International Workshops : KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025 and STBDM 2025, Shenyang, China, August 28-30, 2025, Proceedings - Jiajia Li
    Web and Big Data. APWeb-WAIM 2025 International Workshops
    KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025...
    Jiajia Li, Richard Chbeir, Lei Li, Ye Yuan and Ningning Cui
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  • Guide to AI for Cybersecurity : Principles, Frameworks, and Practical Implementation - Muthu Ramachandran
    Guide to AI for Cybersecurity
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    Muthu Ramachandran
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  • Applied Linear Regression for Business Analytics with Python : A Practical Guide Using Ravix with Case Studies - Daniel P. McGibney
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    Daniel P. McGibney
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  • Computer Performance Engineering : 22nd European Workshop on Performance Engineering, EPEW 2026, Grimstad, Norway, June 24-26, 2026, Proceedings - Dieter Fiems
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    Dieter Fiems and Mauro Iacono
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  • Multivariate Analysis with LISREL - Karl G. Jöreskog
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    Karl G. Jöreskog, Ulf H. Olsson and Fan Y. Wallentin
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  • The Orange Book of Machine Learning Green edition : The essentials of making predictions using supervised regression and classification for tabular data - Carl McBride Ellis
    The Orange Book of Machine Learning Green edition
    The essentials of making predictions using supe...
    Carl McBride Ellis
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  • Textual and Contextual Data Analysis : A Multivariate Statistical Approach using R - Mónica Bécue-Bertaut
    Textual and Contextual Data Analysis
    A Multivariate Statistical Approach using R
    Mónica Bécue-Bertaut and Ramón Alvarez-Esteban
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  • Exploratory Data Analysis Using R : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ronald K. Pearson
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  • What Every Engineer Should Know About Artificial Intelligence and Big Data : What Every Engineer Should Know - Satish Mahadevan Srinivasan
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