Web and Network Data Science

Web and Network Data Science
Author :
Publisher : Pearson Education
Total Pages : 370
Release :
ISBN-10 : 9780133886443
ISBN-13 : 0133886441
Rating : 4/5 (441 Downloads)

Book Synopsis Web and Network Data Science by : Thomas W. Miller

Download or read book Web and Network Data Science written by Thomas W. Miller and published by Pearson Education. This book was released on 2015 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University's prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.


Web and Network Data Science Related Books

Web and Network Data Science
Language: en
Pages: 370
Authors: Thomas W. Miller
Categories: Business & Economics
Type: BOOK - Published: 2015 - Publisher: Pearson Education

DOWNLOAD EBOOK

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University's pr
Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
Data Science and Complex Networks
Language: en
Pages: 139
Authors: Guido Caldarelli
Categories: Science
Type: BOOK - Published: 2016-11-10 - Publisher: Oxford University Press

DOWNLOAD EBOOK

This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these c
Malware Data Science
Language: en
Pages: 274
Authors: Joshua Saxe
Categories: Computers
Type: BOOK - Published: 2018-09-25 - Publisher: No Starch Press

DOWNLOAD EBOOK

Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a "b