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

Daniel D Gutierrez

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Idioma: inglés

Editorial: Technics Publications LLC, 2015

1634620968 / 9781634620963

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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc

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Vendedor de IberLibro desde 23 de marzo de 2026

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Descripción del artículo del vendedor

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.

N° de ref. del artículo CIN1634620968G

Título
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Autor
Daniel D Gutierrez
Editorial
Technics Publications LLC
Año de publicación
2015
Estado
Good
Encuadernación
Paperback
Idioma
inglés
ISBN 10
1634620968
ISBN 13
9781634620963

World of Books Inc

Montgomery, IL, Estados Unidos de America

Vendedor de 4 estrellas

Vendedor de IberLibro desde 23 de marzo de 2026

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