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 (edition First Edition), 2015
Ancien(s) ou d'occasion
Paperback
Vendeur
BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 2 février 2016
Cet article spécifique n'est plus disponible.
A propos de cet article
Description :
Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. N° de réf. du vendeur 1634620968-11-1
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Détails bibliographiques
Titre : Machine Learning and Data Science: An ...
Éditeur : Technics Publications (edition First Edition)
Date d'édition : 2015
Reliure : Paperback
Etat : Good
Edition : First Edition.
Meilleurs résultats de recherche sur AbeBooks
Image d'archives
Machine Learning and Data Science (Paperback)
Edité par
Technics Publications LLC, Bradley Beach, 2015
ISBN 10 : 1634620968
ISBN 13 : 9781634620963
Neuf
Paperback
Edition originale
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781634620963
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning and Data Science (Paperback)
Edité par
Technics Publications LLC, Bradley Beach, 2015
ISBN 10 : 1634620968
ISBN 13 : 9781634620963
Neuf
Paperback
Edition originale
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 3 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781634620963
Quantité disponible : 1 disponible(s)