Description: 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.
Price: 64.23 AUD
Location: Hillsdale, NSW
End Time: 2024-11-29T16:07:55.000Z
Shipping Cost: 32.76 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
EAN: 9781634620963
UPC: 9781634620963
ISBN: 9781634620963
MPN: N/A
Book Title: Machine Learning and Data Science: An Introduction
Item Length: 23.1 cm
Number of Pages: 230 Pages
Language: English
Publication Name: Machine Learning and Data Science: an Introduction to Statistical Learning Methods with R
Publisher: Technics Publications LLC
Publication Year: 2015
Subject: Computer Science
Item Height: 235 mm
Item Weight: 586 g
Type: Textbook
Author: Daniel D Gutierrez
Item Width: 190 mm
Format: Paperback
