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r/learnmachinelearning
520k members
r/learnmachinelearning is a subreddit with 520k members. Its distinguishing qualities are that the community is huge in size, and has crazy activity.
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
: "If I was to name the one resource I learned the most from as a beginner"
38 posts
#2
Solution Requests
: "Need help with binary classification project using Scikit-Learn – willing to pay for guidance"
3 posts
#3
Pain & Anger
: "Absolutely Terrified for my career and future"
3 posts
#4
Self-Promotion
: "[P] Built a comprehensive NLP system with multilingual sentiment analysis and document based QA .. feedback welcome"
2 posts
#5
Ideas
: "Project ideas related to quant (risk)"
1 post
Popular Topics in r/learnmachinelearning
#1
Ml
: "Ml is math. You need math. You may not need to learn super advanced category theory(but you should), but at least Algebra and stat is required; Ml is math. You can't avoid it, learn to enjoy it. Also states what you want to study in Ml when asking for partners, Ml is huge it will help you get advice"
78 posts
#2
Ai
: "Ai posts provide no value and should be removed."
65 posts
#3
Learning
: "Where’s software industry headed? Is it too late to start Learning AI ML?"
43 posts
#4
Project
: "Is this a resume-worthy Project for ML/AI jobs?"
29 posts
#5
Career
: "Absolutely Terrified for my Career and future"
27 posts
#6
Machine Learning
: "A Guide to Mastering Serverless Machine Learning"
26 posts
#7
Data
: "What's the difference between working on Kaggle-style projects and real-world Data Science/ML roles"
17 posts
#8
Model
: "First job in AI/ML"
14 posts
#9
Math
: "ML is Math. You need Math. You may not need to learn super advanced category theory(but you should), but at least Algebra and stat is required; ML is Math. You can't avoid it, learn to enjoy it. Also states what you want to study in ML when asking for partners, ML is huge it will help you get advice"
11 posts
#10
Data Science
: "Here’s how I’d learn Data Science if I only had 6 months (and wanted to actually understand what I’m doing)"
10 posts
Member Growth in r/learnmachinelearning
Yearly
+112k members(27.3%)
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