Chapman and Hall/CRC
Prescriptions for Quant Traders Using R: Videos & Scripts
Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Model to Meaning: How Interpret Statistical Models with R and Python
Long Memory Time Series Analysis
Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods
Markov Processes
Beyond Algorithms: Reframing AI as Intellectual Capital for Human Flourishing
Inequalities and Integral Operators in Function Spaces
Smart Medical Imaging for Diagnosis and Treatment Planning
Environmental Modelling with Contemporary Statistics: Learning, Directionality, and Space-Time Dynamics
Federated Learning for Smart Communication using IoT Application
Algebraic Number Theory and Fermat's Last Theorem
Cloud Computing Security: Strategies and Best Practices
Foundations of Bayesian Statistics for Data Scientists: With R and Python
An Invitation to Real Analysis
Statistics in Survey Sampling
Complex Population Dynamics: Theory and Data
An Introduction to Deep Reinforcement Learning
Representation Theory and C*-algebras
A Concise Introduction to Functional Analysis
the Random Number Code: Unlocking Secrets of Numbers That You Can't Predict...
AI for a Just World: Power, Liberation, and the People Left Behind
Mathematics for Artificial Intelligence
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
Computer Vision: Challenges, Trends, and Opportunities
Building Your Career as A Statistician: Practical Guide to Longevity, Happiness, and Accomplishment
The Method of Moments in Electromagnetics
Challenges and Solutions in Internet of Things-Based Smart Applications
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