Beginners -> /r/mlquestions , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
264
Rank of the subreddit on Reddit
2.78 M
Number of subscribers to the subreddit on Reddit
Programming
Tag of the subreddit
1. Online ML Courses Platform: Promote platforms that offer comprehensive machine learning courses, like Coursera or edX. 2. ML Model Visualization Tools: Highlight software that can help visualize machine learning models, such as TensorBoard. 3. Data Preprocessing Utilities: Promote online tools for cleaning and prepping datasets for ML, like Trifacta Wrangler. 4. Cloud - based ML Platforms: Mention services like Google ML Engine or Amazon SageMaker. 5. Open - source ML Libraries Promotion: Promote popular libraries like Scikit - learn or Keras.
1. Title should have an appropriate tag like '[Discussion]', '[D]', etc. 2. Beginner questions should be posted in relevant subreddits. 3. Posts should be clear and not easily answerable by a simple Google search. 4. Non - arxiv link posts are only allowed on weekends and must include context. 5. Limit self - promotion; focus on ML topics first.
The community is large, often involves professionals, user interaction is frequent, suitable for obtaining professional feedback and enhancing brand influence.