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Getting (more out of) Graphics : Practice and Principles of Data Visualisation

A First Course in Causal Inference

Boundary Value Problems for Linear Partial Differential Equations

Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance

Spatial Analysis in Geology Using R

Stochastic Methods in Scientific Computing : From Foundations to Advanced Techniques

Bayesian Inference : Theory, Methods, Computations

Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks

Methods for the Summation of Series

Explainable AI (XAI) for Sustainable Development : Trends and Applications

Nature Inspired Robotics

Modern Statistics with R : From Wrangling and Exploring Data to Inference and Predictive Modelling

Coding Android Apps

Bayesian Inference : Theory, Methods, Computations

Computer Vision : Challenges, Trends, and Opportunities

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian

Introduction to Python : With Applications in Optimization, Image and Video Processing, and Machine Learning

Getting (more out of) Graphics : Practice and Principles of Data Visualisation

Advanced Statistics in Regulatory Critical Clinical Initiatives

Association Models in Epidemiology : Study Designs, Modeling Strategies, and Analytic Methods

Applied Microbiome Statistics : Correlation, Association, Interaction and Composition

Coding Android Apps

Partial Least Squares Regression : and Related Dimension Reduction Methods

Introduction to Python : With Applications in Optimization, Image and Video Processing, and Machine Learning

Modern Statistics with R : From Wrangling and Exploring Data to Inference and Predictive Modelling

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