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Statistical rethinking : a Bayesian course with examples in R and Stan

Foundations of statistics for data scientists : with R and Python

Systems medicine : physiological circuits and the dynamics of disease

An introduction to systems biology : design principles of biological circuits

Time series : modeling, computation, and inference

A first course in machine learning

Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models

An introduction to R and Python for data analysis : a side-by-side approach

Modern data science with R

Introduction to proteins : structure, function and motion

Simple statistical tests for geography

Data mining : a tutorial-based primer

Introduction to data science : data analysis and prediction algorithms with R

Essentials of cloud computing

Introduction to Stochastic Processes

Bayesian modeling and computation in Python

Mathematical statistics : basic ideas and selected topicsVolume II

Economic evaluation of cancer drugs : using clinical trial and real-world data

Artificial intelligence for cognitive modeling : theory and practice

An introduction to astronomy and astrophysics

Encounters with Chaos and Fractals

Discrete Data Analysis with R : Visualization and Modeling Techniques for Categorical and Count Data

Graph theory and its applications

Learning microeconometrics with R

Bayesian regression modeling with INLA

Exploratory data analysis with MATLAB

Principles of Analysis : Measure, Integration, Functional Analysis, and Applications

Analysis of incidence rates

Bayesian precision medicine

Bayesian data analysis

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