- Subscribers
- 616,725
- Average Upvotes
- 51.0
- Average Comments
- 9.4
- Min. Upvotes to HOT
- 1
r/learnmachinelearning
Best Time to Post on r/learnmachinelearning (UTC TIME)
r/learnmachinelearning peaks Fridays 8am-10am 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 old and one of the older subreddits on Reddit. With 616,725 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 13,392 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 51.0 upvotes per post across its 616,725 members. The community is primarily content-consumption focused, with a comment-to-upvote ratio of 0.18. To reach the Hot section of r/learnmachinelearning, posts typically need at least 1 upvotes, reflecting the community's activity level.
Posts on r/learnmachinelearning receive an average of 9.4 comments, indicating a community that primarily engages through upvoting content. Posts tend to be appreciated more through voting than through discussion in the comments.
r/learnmachinelearning Posting Patterns Analysis
Based on an analysis of 100 top posts from the past week, Friday is the most active day with 17 posts reaching the top, while Sunday sees the least activity with 8 posts. Weekday activity is higher than weekends, suggesting a more professionally-oriented community.
The peak posting hours are around 8am UTC (10 posts), 3pm UTC (7 posts), and 7am UTC (7 posts). The quietest hours are 2am UTC, 9pm UTC, and 5am UTC, with only 2-1 posts each reaching the top during these times.
Weekly breakdown: Monday (11), Tuesday (17), Wednesday (15), Thursday (17), Friday (17), Saturday (15), Sunday (8) posts reaching the top.
r/learnmachinelearning Growth Analysis
r/learnmachinelearning currently has 616,725 subscribers. Over the past 30 days, the community has grown by 13,392 members (2.22%), averaging 383 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 35,172 subscribers (6.05%). Since tracking began 584 days ago, the community has added 193,347 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 13,392 new members in the last 30 days.
Frequently Asked Questions
How many subscribers does r/learnmachinelearning have?
r/learnmachinelearning has 616,725 subscribers as of March 2026.
What is the best time to post on r/learnmachinelearning?
The best time to post on r/learnmachinelearning is Fridays 8am-10am UTC, based on analysis of top-performing posts from the past week.
Is r/learnmachinelearning growing?
r/learnmachinelearning is experiencing strong growth, with 13,392 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.
How many upvotes do you need to reach Hot on r/learnmachinelearning?
Posts on r/learnmachinelearning typically need at least 1 upvotes to reach the Hot section.
r/learnmachinelearning Key Statistics Summary
r/learnmachinelearning is a Reddit community with 616,725 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 Fridays 8am-10am UTC. Posts receive an average of 51.0 upvotes and 9.4 comments. The minimum upvotes needed to reach the Hot section is approximately 1. The subreddit is adding approximately 383 new members each day. Founded 10 years ago, r/learnmachinelearning is tracked and analyzed by RedditList as part of its comprehensive database of over 106,347 subreddits.
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Last updated: 2026-03-14 05:52:48