Beginning data science in R 4 : data analysis, visualization, and modeling for the data scientist

By:

Mailund, Thomas

Material type: Text

TextPublication details: New York: Apress Media, 2022.Edition: 2nd edDescription: xxviii, 511pISBN:

9781484281543

Subject(s):

DDC classification:

006.43 MAI MAI

Summary: Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi General stacks	006.43 MAI (Browse shelf(Opens below))	Available	22159

Includes index.

Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.

There are no comments on this title.

to post a comment.