Chapman and Hall/CRC
Graduate Students in Data Science Consulting: A Blueprint for Success
Mathematical Methods for Life Sciences
Applied Mathematics Toolkit: Modeling, Data, and Algorithms for Scientists Engineers
Mathematical Foundations of Deep Learning: Theory and Algorithms
Engineering Production Grade Shiny Apps: A Workflow
Integration of Cloud Computing and IoT: Trends, Case Studies Applications
Elements of Topology: Theory and Practice
Understanding Risk: The Theory and Practice of Financial Risk Management
Behavior Analysis with Machine Learning Using R
Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks
Turing's Mistake: Escaping the Yoke of Unintelligent Machines
Optimal Estimation of Dynamic Systems
Model Based Clustering, Classification, and Density Estimation Using mclust in R
Measure Theory and Fine Properties of Functions
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, Engineering
Measure Theory and Integration
Bayesian Mediation Analysis using R
Introduction to Machine Learning Algorithms: Basic Principles and Mathematics
Resource Discovery, Navigability and Trust Management Techniques for IoT SIoT
Digital Minds 1.0: AI Welfare, Ethics, and Beyond
The Power of Geometric Algebra Computing: For Engineering and Quantum Computing
Secret History: The Story of Cryptology
What's the Question?: Deciding What You Really Want to Know
Quantum Machine Learning: A Modern Approach
Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
When Robots Move In: Living with Conversational AI in the Home
Mathematical Modeling: Models, Analysis and Applications
Universal Algebra
Artificial Intelligence and Large Language Models: An Introduction to the Technological Future
Graphical Data Analysis with R
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