Mastering Social Media Mining with R - Ascetic_trip [CPUL]
- Type:
- Other > E-books
- Files:
- 2
- Size:
- 12.56 MiB (13174075 Bytes)
- Texted language(s):
- English
- Tag(s):
- Ascetic_trip Ebook
- Uploaded:
- 2015-10-21 18:26:31 GMT
- By:
- MrTripper
- Seeders:
- 1
- Leechers:
- 0
- Comments
- 0
- Info Hash: 697999536D2F80B399FED42DEB6703D60DFF8F91
(Problems with magnets links are fixed by upgrading your torrent client!)
Mastering Social Media Mining with R - Ascetic_trip [CPUL] https://i.imgur.com/fniNasw.jpg Book Description With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter,Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. Book Details Title: Mastering Social Media Mining with R - Ascetic_trip [CPUL] By: Sharan Kumar Ravindran, Vikram Garg ISBN: 978-1-78439-631-2 Year: 2015 Pages: 248 Language: English File size: 12.5 MB File format: PDF
| Mastering Social Media Mining with R - Ascetic_trip [CPUL].pdf | 12.5 MiB |
| CPUL.png | 60.81 KiB |
