(Posted with permission from moderators.)
I invite you to join new community of machine learning professionals: r/MachinesLearn. Just in five days our community has grown from 0 to 4.6k members.
Here I will try to explain why we need a new community about AI and machine learning, and how it’s different from the major existing ones, namely r/MachineLearning, r/artificial, r/datascience and r/learnmachinelearning.
After multiple discussions with moderators of those communities, here’s how we position our new subreddit.
First of all, it’s a community for industry professionals. This differs us from r/MachineLearning, which is seen by many as an academic/research focused community. We assume that our typical reader is a machine learning professional, a programmer or an engineer. This differs us from r/datascience whose range of topics is much wider, including a much larger body of statistics, visualization, storytelling, experiment design, A/B testing, and so on. This also differs us from r/learnmachinelearning, which plans a merger with r/MLQuestions to focus primarily on answering ML-related questions from subscribers. r/MachinesLearn only accepts posts with questions if they contain answers, even if partial, to the problem of the poster.
Finally, the main focus of r/MachinesLearn is sharing links to tutorials (video or with source code), packages, libraries and frameworks, DIYs and how-tos. This differs us from r/artificial which is often used as a platform to share AI-related news, and is seen by us as less programmer-oriented.
I hope now you see our niche. We will be happy if you join!
Thanks to r/bigdata moderators for letting us post this announcement.