Chapman and Hall/CRC
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman & Hall/Crc...
Introduction to Multivariate Analysis: Linear and Nonlinear Modeling (Chapman & Hall/CRC Texts...
Finite Element Methods for Eigenvalue Problems (Chapman & Hall/Crc Monographs and Research...
Introduction to Computational Models with Python (Chapman & Hall/CRC Science)
AI Use Cases for Diplomats: Applying Artificial Intelligence to Diplomacy (Chapman &...
Quantum Artificial Intelligence with Qiskit
The Method of Moments in Electromagnetics
Multivariate Dependencies: Models, Analysis and Interpretation (Monographs on Statistics & Applied Probability, Band 67)
Mastering Geometry Puzzles (Ak Peters/Crc Recreational Mathematics)
Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman...
Data Science and Its Applications
Measure and Integral: An Introduction to Real Analysis, Second Edition (Chapman &...
Handbook of Geometric Constraint Systems Principles (Discrete Mathematics and Its Applications)
Discrete Mathematics: An Open Introduction (Discrete Mathematics and Its Applications)
One Complex Variable from the Several Point of View (Textbooks in Mathematics)
Community Structure Analysis from Social Networks
Set Theory: An Introduction to Axiomatic Reasoning (Textbooks in Mathematics)
Predictive Analytics and Generative AI for Data-Driven Marketing Strategies (Artificial Intelligence, Machine...
Advanced Statistical Analytics for Health Data Science with SAS and R (Chapman...
Student Solutions Manual for Gallian's Contemporary Abstract Algebra (Textbooks in Mathematics)
Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/Crc Texts in Science)
Multivariate Statistical Methods: Going Beyond the Linear (Frontiers in Probability and Sciences)
Geographic Data Science with Python (Chapman & Hall/CRC: Texts in Statistical Science)
Transition to Advanced Mathematics (Textbooks in Mathematics)
Applied Statistics With Python: Volume Ii: Multivariate Methods
Bayesian Modeling of Spatio Temporal Data with R (Chapman & Hall/Crc Interdisciplinary Statistics)
Bayesian Inference: Theory, Methods, Computations
Joint Models for Longitudinal and Time to Event Data: With Applications in...
Recent Advances in Deep Learning Applications: New Techniques and Practical Examples
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