Chapman and Hall/CRC
How Things Work: The Technology Edition
DevOps for Data Science
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
Hidden Markov Models for Time Series: An Introduction Using R: R, Second Edition
Nonparametric Statistical Methods Using R
Sample Sizes for Clinical Trials
Foundations of Artificial Intelligence and Robotics: Volume 1 A Holistic View
AI for Decision Intelligence in Critical Systems
AI for the Ordinary: A Non-technical Playbook Citizens, Students, and Managers
Likelihood and Its Extensions
Empowering Digital Education with ChatGPT: From Theoretical to Practical Applications
Feature Selection and Extraction on Omics Data
Theory of Computation for Software Developers
A First Course in Machine Learning
Test-Driven Data Analysis
Abstract Cauchy Problems: Three Approaches
Deep Learning in Medical Image Analysis: Recent Advances and Future Trends
Mathematical Modelling Techniques
A Practical Guide to Integrating Generative AI into HR Management
Introduction to Bayesian Econometrics: A GUIded Toolkit using R
R for Health Technology Assessment
Introduction to Automata Theory and Formal Languages: A Logic Building Problem-solving Approach
Mathematical Theory of Quantum Teleportation Protocols: An Introduction for Scientists and Engineers
The Games that Computers (and Humans) Play: A Non Technical Introduction to Artificial Intelligence
Cyberology: An Optimized Approach to the Cyber-World
Data as the Fourth Pillar: An Executive Guide for Scaling AI
Differential Modules over Rings
Concept Drift in Large Language Models: Adapting the Conversation
Knowledge Graph and Semantic Web Technology based XAI
Understanding Structural Equation Models: Models of Relationships Between Variables
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