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Essentials of computer architecture

Mixture models : parametric, semiparametric, and new directions

Spatial linear models for environmental data

Nonparametric Statistical Methods Using R

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

DevOps for Data Science

Practical machine learning with R : tutorials and case studies

Linear algebra for earth scientists

Statistical inference

Boundary value problems for linear partial differential equations

Encounters with Chaos and Fractals

An introduction to spatial data science with GeoDaVolume 2,: Clustering spatial data

Bayesian precision medicine

A first course in causal inference

Advanced linear algebra

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

Differential equations with applications and historical notes

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

Modern data science with R

Introduction to proteins : structure, function and motion

The garbage collection handbook : the art of automatic memory management

Essentials of cloud computing

Introduction to Stochastic Processes

Mathematical statistics : basic ideas and selected topicsVolume II

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

Sessile animals of the sea shore

Delighting Customers : How to build a customer-driven organization

An introduction to astronomy and astrophysics

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