Machine Learning and Data Science

An Introduction to Statistical Learning Methods with R

Auteur Daniel D Gutierrez

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ISBN

9781634620963

Bindwijze

Paperback

Taal

Engels

Auteur

Daniel D Gutierrez

Uitgeverij

Technics Publications Llc

Jaar van uitgifte

2015

Aantal pagina’s

230

Waar gaat het over?

A practitioners 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, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used.

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