Data Mining Facebook

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More, 3rd Edition

Matthew A. Russell, Mikhail Klassen, "Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More, 3rd Edition"
English | ISBN: 1491985046 | 2018 | EPUB | 428 pages | 20 MB
Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More, 3rd Edition

Mining the Social Web :
Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More, 3rd Edition

by Matthew A. Russell and Mikhail Klassen
English | 2018 | ISBN: 1491985046 | 424 Pages | True PDF | 23 MB
Mining the Social Web, 2nd Edition: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Mining the Social Web, 2nd Edition: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More By Matthew A. Russell
2013 | 448 Pages | ISBN: 1449367615 | PDF | 22 MB

Professional Certificate in Data Mining & Machine Learning  eBooks & eLearning

Posted by BlackDove at April 16, 2022
Professional Certificate in Data Mining & Machine Learning

Professional Certificate in Data Mining & Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 52h 57m | Size: 23.3 GB


Learn All the Skills to Become a Data Mining & Machine Learning Scientist [2022] [COMPREHENSIVE MASTERCLASS]

Data Science:Data Mining & Natural Language Processing In R  eBooks & eLearning

Posted by Sigha at April 24, 2023
Data Science:Data Mining & Natural Language Processing In R

Data Science:Data Mining & Natural Language Processing In R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 7.29 GB | Duration: 13h 16m

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples

Mining Social Media: Finding Stories in Internet Data  eBooks & eLearning

Posted by tarantoga at Nov. 26, 2019
Mining Social Media: Finding Stories in Internet Data

Lam Thuy Vo, "Mining Social Media: Finding Stories in Internet Data"
ISBN: 1593279167 | 2019 | EPUB | 208 pages | 8 MB

Mining Social Media: Finding Stories in Internet Data  eBooks & eLearning

Posted by IrGens at Dec. 28, 2020
Mining Social Media: Finding Stories in Internet Data

Mining Social Media: Finding Stories in Internet Data by Lam Thuy Vo
English | December 10, 2019 | ASIN: B07QGN34N7, ISBN: 1593279167 | AZW3 | 208 pages | 4.9 MB

Low Resource Social Media Text Mining  eBooks & eLearning

Posted by AvaxGenius at Oct. 2, 2021
Low Resource Social Media Text Mining

Low Resource Social Media Text Mining by Shriphani Palakodety
English | PDF,EPUB | 2021 | 67 Pages | ISBN : 981165624X | 8.5 MB

This book focuses on methods that are unsupervised or require minimal supervision—vital in the low-resource domain. Over the past few years, rapid growth in Internet access across the globe has resulted in an explosion in user-generated text content in social media platforms. This effect is significantly pronounced in linguistically diverse areas of the world like South Asia, where over 400 million people regularly access social media platforms.

Compromised Data: From Social Media to Big Data  eBooks & eLearning

Posted by DZ123 at Dec. 7, 2022
Compromised Data: From Social Media to Big Data

Axel Bruns, Greg Elmer, Ganaele Langlois, "Compromised Data: From Social Media to Big Data"
English | 2015 | ISBN: 1501306510, 1501306502 | PDF | pages: 295 | 5.2 mb
Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses

Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses by Angelica Lo Duca, Tim Meehan, Vivek Bharathan, Ying Su
English | October 31st, 2023 | ISBN: 1098141857 | 191 pages | True EPUB | 5.59 MB

The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside.