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Intelligent Computing and Optimization for Sustainable Development

Programming Language Explorations

Spatial Data Science: With Applications in R (Chapman & Hall/CRC The Series)

Elements of Algebraic Topology (Textbooks in Mathematics)

Group Sequential and Adaptive Methods for Clinical Trials (Chapman & Hall/CRC Biostatistics Series)

Applied Operational Research with SAS

The Cloud Computing Book: Future of Explained

Beyond Multiple Linear Regression: Applied Generalized Models And Multilevel in R (Chapman...

Event History Analysis with R (Chapman & Hall/CRC The Series)

Impact of Artificial Intelligence on Society

Online Gaming in India: Technology, Policy, and Challenges

Artificial Intelligence and Actuarial Science: Applications Case Studies from Finance Insurance

Monty the Null Hippopotamus: Exploring Statistical Foundations Through Simulation

Data Science and Machine Learning: Mathematical Statistical Methods, Second Edition (Chapman &...

XVA Analysis: Probabilistic, Risk Measure, and Machine Learning Issues (Chapman Hall/CRC Financial Mathematics Series)

Classification and Regression Trees (Wadsworth Statistics/Probability)

Hidden in White Sight: How AI Empowers and Deepens Systemic Racism

Digital Minds 1.0: AI Welfare, Ethics, and Beyond (Chapman & Hall/CRC Artificial...

Introduction to Quantum Control and Dynamics (Advances in Applied Mathematics)

Risk Parity Fundamentals

Interactive Web Based Data Visualization with R, plotly, and shiny (Chapman &...

Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Learning Pattern Recognition)

A Concise Introduction to Geometric Numerical Integration

Geometric Sturmian Theory of Nonlinear Parabolic Equations and Applications (Chapman & Hall/CRC...

Research and Development Statistics (Reviews of United Kingdom Statistical Sources): 27

Codes: The Guide to Secrecy From Ancient Modern Times

A Modern Introduction to Linear Algebra

AI Forensics: Investigation and Analysis of Artificial Intelligence Systems

Embedded Systems for Biomedical Applications

Extending the Linear Model with R