Data Science with R : An Introduction to Statistical Computing and Graphics

Machine Learning and Data Science: An In

📁 Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

✍ Daniel D. Gutierrez [Daniel D. Gutierrez] 📂 Library 📅 2015 🏛 Technics Publications 🌐 English

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning

Biostatistics with R: An Introduction to

📁 Biostatistics with R: An Introduction to Statistics Through Biological Data

✍ Babak Shahbaba (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag New York 🌐 English

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problem

Biostatistics with R: An Introduction to

📁 Biostatistics with R: An Introduction to Statistics Through Biological Data

✍ Babak Shahbaba (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag New York 🌐 English

This book will discuss basic statistical analysis methods through a series of bio- logical examples using R and R-Commander as computational tools. The book is intended for a wide range of readers, from people with relatively strong analyti- cal background who want to learn about statistics

Biostatistics with R: an introduction to

📁 Biostatistics with R: an introduction to statistics through biological data

✍ Shahbaba, Babak 📂 Library 📅 2018 🏛 Springer Science+Business Media 🌐 English

Reasoning with data : an introduction to

📁 Reasoning with data : an introduction to traditional and Bayesian statistics using R

✍ Stanton, Jeffrey M. 📂 Library 📅 2017 🏛 The Guilford Press 🌐 English

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both cla

Reasoning with Data: An Introduction to

📁 Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

✍ Jeffrey M. Stanton 📂 Library 📅 2017 🏛 The Guilford Press 🌐 English

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both class