Mining the Social Web
Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
$117.78
- Paperback
432 pages
- Release Date
31 January 2019
Summary
Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who’s connecting with whom, what they’re talking about, and where they’re located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape,…
Book Details
| ISBN-13: | 9781491985045 |
|---|---|
| ISBN-10: | 1491985046 |
| Author: | Matthew A. Russell, Mikhail Klassen |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 432 |
| Edition: | 3rd |
| Release Date: | 31 January 2019 |
| Weight: | 752g |
| Dimensions: | 233mm x 180mm x 23mm |
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About The Author
Matthew A. Russell
Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O’Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons. Mikhail Klassen is co-founder and Chief Data Scientist at Paladin:Paradigm, an aerospace analytics startup based in Montreal.His PhD research work was in large-scale numerical simulations of star formation, where he implemented a novel radiative transfer technique that led to more accurate models of the birth environments of high-mass stars.
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