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

Gutierrez, Daniel D.

ISBN 10: 1634620968 / ISBN 13: 9781634620963

Edité par Technics Publications, 2015

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Unread book in perfect condition. N° de réf. du vendeur 24906663

Détails bibliographiques

Titre : Machine Learning and Data Science : An ...

Éditeur : Technics Publications

Date d'édition : 2015

Reliure : Couverture souple

Etat : As New

A propos de ce titre

Présentation de l'éditeur:

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, 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.