Chapman and Hall/CRC
Data Science in Healthcare: A Complete Guide (Chapman & Hall/Crc Science)
Introduction to the Potential Theory for Time-Dependent Stokes System (Chapman & Hall/Crc...
Turing's Mistake: Escaping the Yoke of Unintelligent Machines
Energy Efficiency and Robustness of Advanced Machine Learning Architectures: A Cross-Layer Approach...
Geometry of Derivation: Classification Skewfield Flocks (3)
Genai Security: Secure Chatbots and Agent Systems
AI for the Ordinary: A Non-technical Playbook Citizens, Students, and Managers
The Math Thought Mindset: Logic, Reasoning, and Proofs (Advances in Applied Mathematics)
AI Safety in Healthcare Systems: Resilience, Transparency, and Accountability
An Introduction to Virtual and Augmented Reality: Designing Impactful Experiences
Essentials of Computer Architecture
Poisson Process and its Fractional Extensions with Applications (Chapman Hall/Crc Financial Mathematics)
Statistical Analysis of Spatial and Spatio Temporal Point Patterns (Chapman & Hall/Crc...
Exact Methods for Nonlinear Pdes (Advances in Applied Mathematics)
AI First Leader: A Practical Guide to Organizational Leadership
Beyond ANOVA: Basics of Applied Statistics (Texts in Statistical Science Series)
Deep learning assisted Statistical Methods With Examples in R (Chapman & Hall/Crc Data Science)
The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy Science
Modern Statistics with R: From Wrangling and Exploring Data to Inference Predictive Modelling
Gaussian Markov Random Fields: Theory and Applications (Monographs on Statistics & Applied...
JavaScript: Syntax and Practices
Introduction to Radar Analysis (Advances in Applied Mathematics)
Practical Fourier Analysis for Multigrid Methods (NUMERICAL INSIGHTS, 4, Band 4)
Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/Crc Monographs on Statistics and Applied Probability)
The Metaverse: A Critical Introduction
Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package...
Tidy Finance with Python (Chapman & Hall/Crc Python)
Models Demystified: A Practical Guide from Linear Regression to Deep Learning (Chapman...
Quantum Machine Learning: A Modern Approach
Mathematical Engineering of Deep Learning (Chapman & Hall/Crc Data Science)
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