Top.10 Facebook Accounts For Data Science
Over the past decade, social media has become a powerful platform to share the thoughts of people, to connect with peers, and to provide direct contact with some of the world’s finest tech leaders. These shared communities provide developers and beginners with an opportunity to resolve their concerns and receive peer support from the thriving community.
It is precisely for this reason that the number of groups for sharing and accessing content has greatly increased. In this article, we look at the top 10 Facebook groups exclusively dedicated to data science and another emerging tech.
Grow a Learning Passion…… And Connect on Facebook.
Data Mining/Machine Learning/Artificial Intelligence
Purpose: This group is for individuals with a general interest in different aspects of data mining, machine learning, human-computer interaction, and artificial intelligence; The group is not limited to people from the mere background of science.
Created by: Vadim Ivanov
Members:130,694
Group created: on 18 August 2007
Group type: Public
BigData,Hadoop,NoSQL,AnalyticsNews
Purpose: The group provides information and the latest advances in Big Data, Hadoop, NoSQL Databases, And Data Analytics. The site is the online resource for BigData’s exclusive stuff in the industry. It also updates on upcoming field conferences from around the world.
Created by: Sunitha Naidu.
Members:19,989
Group created: on 7 September 2013
Group type: Public
Purpose: Although the group was interested in a distributed computing platform written in Java, Hadoop, it also includes Big data · Machine Learning key tags. They have recently had big data events such as Scratch’s Master Big Data and Hadoop Step-By-Step (in French) and MapReduce Face Detection (April 2016).
Created by: Prem Raj
Members:20,468
The group created: on 1 March 2008
Group type: Public
Purpose: The group provides information and the latest advances in Big Data, Hadoop, NoSQL Databases, And Data Analytics. The site is the online resource for BigData’s exclusive stuff in the industry. It also updates on upcoming field conferences from around the world.
Created by: Vinod Kumar M
Members:14,220
Group created: on 12 November 2012
Group type: Public
Referral — DataScience&AnalyticsJobs (Worldwide)
Purpose: The group provides full-time job updates in the areas of Data Science, Data Analytics (Python, R, Power BI, VBA, SAS, QlikView, Tableau, SQL, Advanced Excel, RapidMiner, Splunk & more), Big Data (Hadoop, Spark, etc.) and Artificial Intelligence from around the world.
Created by: Om Prakash.
Members:31,542
The group created: on 12 September 2017
Group Type: Private
Purpose: This group is intended to share material related to the disciplines of data management, mainly data science, big data, analytics, data warehousing, data mining, business intelligence, and predictive analytics, etc.
Created by: محمد سفیر
Members:114,011
The group created: on 2 January 2013
Group Type: Public
Machine Learning, Artificial Intelligence, and Data Analytics.
Purpose: The group provides a number of ML, AI, data science as well as other related subjects.
Created by: Mohamed Mej
Members:47,106
Created by: Mohamed Mej
The group created: on 1 January 1970
Group Type: Public
Purpose: The group is run by data science enthusiasts who like R & Python, where they discuss the topics of analytics, machine learning, deep learning, R, python.
Created by: Sohail Siddique
Members:178,085
The group created: on 15 March 2015
Group Type: Private
Big DataData ScienceData Mining &Statistics
Purpose: This is the Big Data, Data Science, Data Mining, and Statistics forum.
Created by: Henrik Nordmark.
Members:17,926.
The group created: on 27 December 2012
Group Type: Public
Purpose: The SQL Server + Azure Data Services + AI group provides information and the latest advances updates of conferences and seminars.
Created by: Amit R S Bansal
Members:21,484
The group created: on 17 November 2012
Group Type: Public
CONCLUSION:
I hope that these learning opportunities can help you narrow down the multitude of alternatives that can be very daunting, and I hope that you will gain some great new information that you can apply to your career.
Happy learning!
