r/learnmachinelearning
678k members
r/learnmachinelearning is a subreddit with 678k members. The most common kinds of discussions are advice requests and solution requests, and the community frequently discusses struggling, ml, ai, learning, and data, and they frequently recommend/review statistics book, linux distro, and learning resources.
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 understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here.
For ML research, /r/machinelearning
For resume review, /r/engineeringresumes
For ML engineers, /r/mlengineering
Popular Themes in r/learnmachinelearning
#1
Advice Requests
: "Neetcode 150 for ML Interviews > ml-150.com"
30 posts
#2
Solution Requests
: "built a site for ML/AI papers and roadmaps"
4 posts
#3
Money Talk
: "How do you actually turn Python skills into freelance income?"
1 post
#4
Opportunities
: "Amazon Ml challenge 2026"
1 post
#5
Self-Promotion
: "I built MLForge to make starting Python ML projects less repetitive"
1 post
#6
News
: "12,776 AI/DS job listings analyzed this week — 2 companies you've probably never heard of are out-hiring TCS and Infosys"
1 post
Popular Topics in r/learnmachinelearning
#1
Struggling
26 posts
#2
Ml
: "Transitioning from basic Ml to a job: What to read/do after XGBoost? (Advice on FastAPI, Deep Learning, and Portfolios)"
25 posts
#3
Ai
20 posts
#4
Learning
: "Transitioning from basic ML to a job: What to read/do after XGBoost? (Advice on FastAPI, Deep Learning, and Portfolios)"
13 posts
#5
Data
7 posts
#6
Models
6 posts
#7
Projects
: "Transitioning from basic ML to a job: What to read/do after XGBoost? (Advice on FastAPI, Deep Learning, and Portfolios)"
6 posts
#8
Architecture
4 posts
#9
Llm
4 posts
#10
System
3 posts
Products Discussed in r/learnmachinelearning
Statistics Book
17 reviews
#1
Sheldon Ross
5.0★ from 1 review
#2
Practical Statistics for Data Scientists
4.0★ from 1 review
#3
Blitzstein
4.0★ from 1 review
Linux Distro
13 reviews
#1
Ubuntu
4.2★ from 6 reviews
#2
Pop!_OS
4.0★ from 2 reviews
#3
Debian
4.0★ from 1 review
Learning Resources
8 reviews
#1
Springer
5.0★ from 2 reviews
#2
deeplearning.ai
5.0★ from 1 review
#3
O'Reilly
4.0★ from 1 review
Flair Used in r/learnmachinelearning
#1
Help
: "Looking for free alternatives to popular paid AI/ML courses"
34 posts
#2
Discussion
: "Training a video generation model from scratch on my laptop — loss plateaued, results are blurry. Should I keep going or change approach?"
19 posts
#3
Project
: "I built tensor operations and scalar autograd from scratch in C++"
16 posts
#4
Question
: "What is the reasoning for this ?"
14 posts
#5
Request
: "Starting a study group for *Learning Theory from First Principles* (Francis Bach) — looking for a few people"
7 posts
#6
Tutorial
: "You Could Have Come Up with Speculative Decoding"
3 posts
#7
Career
: "Is Statistics & Data Science a good path into AI/ML Engineering?"
2 posts
#8
Meme
: "Wild they've been around much longer than I realized"
1 post
Member Growth in r/learnmachinelearning
Yearly
+122k members(21.9%)
Similar Subreddits to r/learnmachinelearning
r/AgentsOfAI
125k members
99.2% / yr
r/ArtificialInteligence
1.9M members
23.1% / yr
r/ChatGPTPromptGenius
819k members
34.4% / yr
r/datascience
2.8M members
2.8% / yr
r/deeplearning
248k members
19.7% / yr
r/LLMDevs
170k members
56.3% / yr
r/LocalLLM
225k members
161.4% / yr
r/PromptEngineering
416k members
82.4% / yr
r/quantfinance
89k members
70.7% / yr
r/SoftwareEngineering
174k members
12.0% / yr
About
GummySearch helps people research Reddit communities by organizing activity, growth, themes, and post-level signals into one place.
This page gives a focused view of r/learnmachinelearning, including current member size, discussion patterns, product reviews, and related communities to explore.
This data is synced periodically so insights stay current and useful for ongoing research.
Last updated: September 10, 2026