Ecological models and data in R /

Introducción a la estadística descriptiva con R

Mastering R for quantitative finance : use R to optimize your trading strategy and build up your own risk management system /

Empezando a usaR una guia paso a paso.

A step-by-step guide to exploratory factor analysis with R and Rstudio /

Empezando a transformar bases de datos con R y dplyr

FreeCAD [how-to] : solid modeling with the power of Python /

Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /

Jisedai o ninau hito no tame no maruchifijikkusu yūgen yōso kaiseki /

Introducción a la ciencia de datos en R : un enfoque práctico /

Learning Quantitative Finance with R.

Introduction to R for business intelligence : learn how to leverage the power of R for business intelligence /

RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature /

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems /

Gestión Moderna de Portafolio. Una guía cuantitativa con aplicaciones en R y Python /

Modeling of specific safety-critical driving scenarios for data synthesis in the context of autonomous driving software.

R Graph essentials : use R's powerful graphing capabilities to design and create professional-level graphics /

R for data science cookbook : over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /

R for data science /

Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /

Wild diplomacy : cohabiting with wolves on a new ontological map /

The variety of integral ecologies : nature, culture, and knowledge in the planetary era /

Hot science, high water : assembling nature, society and environmental policy in contemporary Vietnam /

Environmental Applications of Remote Sensing

Science for environmental protection : the road ahead /

Environmental science /

Land surface observation, modeling and data assimilation /

Environmental Studies : For Undergraduate Classes in Science, Commerce, Humanities, Engineering, Medicine, Pharmacy, Management and Law : Strictly as per model curriculum prescribed by UGC /

Životní prostředí v globální perspektivě /

Satellite observations of the Earth's environment : accelerating the transition of research to operations /

Bitter shade : the ecological challenge of human consciousness /

Reason in a dark time : why the struggle against climate change failed and what it means for our future /

Environmental modelling : new research /

Philosophy and the precautionary principle : science, evidence, and environmental policy /

Technonatures : environments, technologies, and spaces in the twenty-first century /

Advanced research on material science, environmental science and computer science : selected, peer reviewed papers from the 2012 2nd International Conference on Material Science, Environmental Science and Computer Science (MSESCS2012) August 25-26, 2012, Wuhan, China /

Environmental and agricultural research summaries.

Environmental engineering for the 21st century : addressing grand challenges /

Still Only One Earth: Progress in the 40 Years Since the First UN Conference on the Environment.

The nature of tomorrow : a history of the environmental future /

Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /

R data analysis projects : build end to end analytics systems to get deeper insights from your data /

R data mining : implement data mining techniques through practical use cases and real-world datasets /

Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots /

A Primer in Biological Data Analysis and Visualization Using R

R Graph essentials : use R's powerful graphing capabilities to design and create professional-level graphics /

Modern R programming cookbook : recipes to simplify your statistical applications /

R for data science /

Mastering R for quantitative finance : use R to optimize your trading strategy and build up your own risk management system /

Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems /

R for data science cookbook : over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /

Shin kango, rihabiri, fukushi no tame no Excel to R o tsukatta tōkeigaku /

Seimei kagaku, seibutsu kōgaku no tame no machigai kara manabu jissen tōkei kaiseki : R, Python ni yoru dēta shori kotohajime /

Ecological models and data in R /

A Primer in Biological Data Analysis and Visualization Using R.

Learning Quantitative Finance with R.

A Primer in Biological Data Analysis and Visualization Using R.

A step-by-step guide to exploratory factor analysis with R and Rstudio /

A primer in biological data analysis and visualization using R /

Modelamiento ambiental mátematico con aplicaciones en R : ejemplos y ejercicios prácticos /

Modelamiento ambiental mátematico con aplicaciones en R : ejemplos y ejercicios prácticos /