- Subscribers
- 638,637
- Average Upvotes
- 15.4
- Average Comments
- 4.6
- Min. Upvotes to HOT
- 0
r/learnmachinelearning
Best Time to Post on r/learnmachinelearning (UTC TIME)
r/learnmachinelearning peaks Thursdays 3pm-5pm UTC
learnmachinelearning Subscriber Count - redditli.st
What to Post and How to Rank on r/learnmachinelearning
Best Topics & Content Types
Practical implementation projects consistently perform well in r/learnmachinelearning, as evidenced by posts like the x86 Assembly CNN implementation that generated significant discussion. Career transition questions also resonate strongly, such as the popular thread asking "Has any AI/ML course actually helped you switch jobs?" which drew detailed responses about learning paths. Comprehensive beginner guides like "The Ultimate Beginner Guide to Machine Learning" with 120 points demonstrate that well-structured educational resources are highly valued. The community actively organizes themed days including "Project Showcase Day" and "Resume/Career Day," indicating these focused content types receive concentrated engagement. Text posts asking specific, well-framed questions about learning obstacles or framework choices (like PyTorch vs TensorFlow debates) generate substantive discussion, while link posts to quality tutorials or documentation with thoughtful context also succeed when they directly address learner needs.
Writing Style & Tone
The community responds best to a collaborative, supportive tone that acknowledges the learning journey. Posts like the beginner guide that openly shares "I learned ML the most horrible way" create relatability and trust. Technical discussions maintain accessibility—comments comparing PyTorch and TensorFlow explain preferences with practical reasoning ("PyTorch is the standard in research now, whereas Tensorflow is better for deployment") rather than academic jargon. The subreddit rules explicitly prioritize creating "a positive learning environment," so posts that welcome questions without judgment perform better. While not overly casual, the tone avoids formality—successful posts often use first-person perspectives sharing personal learning experiences. Humor is minimal but self-aware phrasing like "Intuition is all you need?" shows some playful framing works when it connects to genuine learning challenges.
What Gets Upvoted
Content that provides immediate, actionable value to learners receives the strongest upvote patterns. The career transition post succeeded because it asked specific, relatable questions about course effectiveness and job switching strategies. Highly upvoted comments typically offer concrete next steps—like suggesting "study his older course on YT" instead of purchasing Andrew Ng's Coursera course—demonstrating the community values practical, cost-effective solutions. Posts that acknowledge current best practices
About r/learnmachinelearning
r/learnmachinelearning was created on February 23, 2016, making it 10 years and 2 months old and one of the older subreddits on Reddit. With 638,637 members, this is a mid-size community that has built a substantial following and typically sees consistent daily activity.
r/learnmachinelearning is experiencing strong growth, with 12,198 new members in the last 30 days.
r/learnmachinelearning Engagement Analysis
r/learnmachinelearning shows typical engagement for a community of this scale, with an average of 15.4 upvotes per post across its 638,637 members. The community is moderately discussion-oriented, with a comment-to-upvote ratio of 0.3.
Posts on r/learnmachinelearning receive an average of 4.6 comments, indicating a community with a healthy balance between content appreciation and active discussion. Members regularly engage with posts through both upvotes and comments.
r/learnmachinelearning Posting Patterns Analysis
Based on an analysis of 100 top posts from the past week, Thursday is the most active day with 16 posts reaching the top, while Friday sees the least activity with 11 posts. Weekday activity is higher than weekends, suggesting a more professionally-oriented community.
The peak posting hours are around 3pm UTC (10 posts), 4pm UTC (9 posts), and 3am UTC (8 posts). The quietest hours are 1am UTC, 10pm UTC, and 11pm UTC, with only 2-1 posts each reaching the top during these times.
Weekly breakdown: Monday (16), Tuesday (16), Wednesday (15), Thursday (16), Friday (11), Saturday (14), Sunday (12) posts reaching the top.
r/learnmachinelearning Growth Analysis
r/learnmachinelearning currently has 638,637 subscribers. Over the past 30 days, the community has grown by 12,198 members (1.95%), averaging 407 new subscribers per day. This growth rate places r/learnmachinelearning in the top 1% of all tracked subreddits.
Over the past 90 days, r/learnmachinelearning has gained 35,304 subscribers (5.85%). Since tracking began 641 days ago, the community has added 215,259 total subscribers.
r/learnmachinelearning Milestones
- Reached 500K subscribers Apr 2025
- Fastest growth period: +6,862 subscribers Jan 2025
r/learnmachinelearning Growth Trend
r/learnmachinelearning is experiencing strong growth, with 12,198 new members in the last 30 days.
Frequently Asked Questions
How many subscribers does r/learnmachinelearning have?
r/learnmachinelearning has 638,637 subscribers as of May 2026.
What is the best time to post on r/learnmachinelearning?
The best time to post on r/learnmachinelearning is Thursdays 3pm-5pm UTC, based on analysis of top-performing posts from the past week.
Is r/learnmachinelearning growing?
r/learnmachinelearning is experiencing strong growth, with 12,198 new members in the last 30 days.
When was r/learnmachinelearning created?
r/learnmachinelearning was created on February 23, 2016, making it 10 years old.
r/learnmachinelearning Key Statistics Summary
r/learnmachinelearning is a Reddit community with 638,637 subscribers. The community describes itself as: "Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in..." The best time to post on r/learnmachinelearning is Thursdays 3pm-5pm UTC. Posts receive an average of 15.4 upvotes and 4.6 comments. The subreddit is adding approximately 407 new members each day. Founded 10 years ago, r/learnmachinelearning is tracked and analyzed by RedditList as part of its comprehensive database of over 106,351 subreddits.
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Last updated: 2026-05-10 18:07:20