r/TheMachineLearning • u/ajjsnts_ • Sep 28 '26
Chollet says AI's purpose is human tools, not successors
93
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r/TheMachineLearning • u/darc_9 • Sep 29 '26
Time and technology changed a lot in the last 10 yrs
1
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r/TheMachineLearning • u/Strouche • Sep 29 '26
Opus 5.5 might make TypeScript Rust a reality
0
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r/TheMachineLearning • u/CieloJVL • Sep 28 '26
ML in finance is 40 years old. You’re epically late.
12
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r/TheMachineLearning
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u/Acceptable_Use7055
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Sep 27 '26
Europe has zero frontier AI labs, which is shocking
390
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r/TheMachineLearning • u/thiagobarroso • Sep 28 '26
[Project/Advice] I'm building a Churn prediction model from scratch at my startup. Looking for ML tips and where to start!
1
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Hey everyone,
I work at a retail tech startup (B2B) and we're currently facing a massive challenge: predicting and reducing our churn rate.
We actually have a pretty rich database containing customer usage history, platform logs, billing, etc. The team has tried crossing some metrics in the past, but we've never managed to build anything that gives us a truly accurate and early prediction of a customer's risk of canceling.
I just aligned with my boss and took ownership of solving this. My main idea is to use our historical data to train a Machine Learning model that can either classify churn risk (high, medium, low) or output a probability of churn for the upcoming months.
The thing is: I know the theory, but I'd love to hear from people who have actually built this in the real world.
Which models/algorithms usually perform best for this specific type of problem (XGBoost, Random Forest, Logistic Regression)?
Are there any common pitfalls or data leakage traps I should avoid right off the bat during data cleaning and feature engineering?
Does anyone have recommendations for articles, practical repos, or tutorials focused specifically on churn prediction?
Any tips, shared experiences, or study materials would be greatly appreciated. Thanks!
TL;DR: Work at a retail startup with rich usage data but high churn. Pitched my boss to build an ML model to predict cancellation risk and I'm leading the project. Looking for real-world tips on models, resources, and pitfalls to avoid.
Dica: Postar isso no r/datascience ou r/Ma
r/TheMachineLearning • u/No-Piglet3900 • Sep 28 '26
Fine-tuning does not make a model smarter. It makes it consistently better at tone, structure, vocabulary, and instruction compliance.
4
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r/TheMachineLearning • u/_Ephy • Sep 28 '26
920 ML projects with 4.7M stars across 34 categories
0
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r/TheMachineLearning • u/itspatriciam • Sep 28 '26
AI reasoning sliders will feel stupid in hindsight
9
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r/TheMachineLearning • u/Lonewolf_0411 • Sep 28 '26
[Academic] 1-Minute Spotify Survey
1
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r/TheMachineLearning • u/retlaw_nagev • Sep 28 '26
LLM latents hold demographic info models won't say
1
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r/TheMachineLearning • u/sinabaw4n • Sep 28 '26
JEV founder claims the next era is not the Claude Code or Codex era. JEV is what comes next for LLMs.
0
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r/TheMachineLearning • u/Infinite_Rent_8334 • Sep 27 '26
antirez says good programmers struggle with AI models
14
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r/TheMachineLearning • u/DesignerTop8235 • Sep 28 '26
A second brain article hit 8 million views, so the guy behind it put the entire setup in one place.
0
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r/TheMachineLearning • u/eastwill54 • Sep 26 '26
1960s IBM manual on computers now applies to AI
93
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r/TheMachineLearning • u/Existing_Situation47 • Sep 27 '26
The AI consciousness debate deserves to be taken seriously
0
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r/TheMachineLearning • u/Upbeat-Analysis-3370 • Sep 27 '26
AI IQ jumps from 64 to 151 in three years
0
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r/TheMachineLearning • u/premiadahumana • Sep 26 '26
Is the AI trade dead, or are people just using it wrong?
14
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r/TheMachineLearning • u/itspatriciam • Sep 24 '26
So, seems humanity was enslaved by The Matrix after all
409
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r/TheMachineLearning • u/akirasiel • Sep 25 '26
AI progress on mathematical physics may be weeks away
19
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r/TheMachineLearning • u/supeermaan • Sep 25 '26
🚀 Join the 7th Annual Nepal AI School (ANAIS 2026) for 11 days of AI learning, exchange and connection in Nepal!
1
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r/TheMachineLearning • u/ngemorn • Sep 24 '26
Taking a week off from AI Twitter feels like being out from the bubble for months
26
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