This article represents top subreddits related with Data Science on reddit.com that the Data Science aspirants or professionals could watch on regular basis for news, stories and discussions. Generally, I find reddit.com very useful to remain in touch with latest and interesting stories and keep myself up-to-date. For those unaware of what is subreddit, subreddit, simply speaking, represents the topic-based groups on reddit.com that comprise of users who want to publish/discuss news or stories related with that topic. For data science, there are multiple groups each focused on a single topic such as those mentioned below. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.
Following are the key topics related with data science whose subreddits could be found and which are described later in this article:
- Machine Learning
- Statistics
- R Programming Language
- Data Mining
- Data Science
- Big Data
- Visualizations
User Distribution Across Subreddits
Following represents users distribution across different subreddits:
Subreddit Topics vs Users Count
As expected, the top two sub-reddits having most number of users and hence, greater engagement are following:
- Machine learning
- Statistics
Subreddits Details
- Machine Learning: Subreddit Machine Learning is used to post stories on some of the following topics:
- Machine Learning
- Data Mining
- Analytics
- Predictive Statistics
- Learning Theory
- Pattern Recognition
- Statistics: Subreddit Statistics for discussion of statistical theory, software and application.
- R Programming Language: Subreddit rstats is used to post stories on R programming language
- Data Mining: Subreddit Data Mining is used to post news, articles and tools for data mining.
- Data Science: Subreddit Data Science is used to post news, stories on data science in general.
- Big Data: The subreddit Big Data presents stories on trends and topics related with Big Data
- Visualizations: Subreddit Visualizations is for people interested in information visualization, datasets and the like.
Ajitesh Kumar
Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.
He has also authored the book, Building Web Apps with Spring 5 and Angular.
He has also authored the book, Building Web Apps with Spring 5 and Angular.
Latest posts by Ajitesh Kumar (see all)
- Unit Tests & Data Coverage for Machine Learning Models - May 11, 2019
- ML Models Confusion Matrix Explained with Examples - March 30, 2019
- Machine Learning Cheat sheet (Stanford) - March 23, 2019
