KelynPaul

u/KelynPaul


After 8 years building production ML systems (in data quality, entity resolution, diagnostics), I keep running into the same problem:

Models with great offline metrics fail in production because they learn correlations, not causal mechanisms.

I just started a 5-part series on building causal ML systems on the NeoForge Labs research blog. Part 1 covers:

  1. Why correlation fails - The ice cream/drowning example, but with real production failures
  2. Pearl's Ladder of Causation - Association, Intervention, Counterfactuals
  3. Practical implications - When does this actually matter?
  4. Case study - Plant disease diagnosis (correlation vs. causal approach)

**Key insight:

20

r/MachineLearning•

After 8 years building production ML systems (in data quality, entity resolution, diagnostics), I keep running into the same problem:

Models with great offline metrics fail in production because they learn correlations, not causal mechanisms.

I just started a 5-part series on building causal ML systems on the NeoForge Labs research blog. Part 1 covers:

  1. Why correlation fails - The ice cream/drowning example, but with real production failures
  2. Pearl's Ladder of Causation - Association, Intervention, Counterfactuals
  3. Practical implications - When does this actually matter?
  4. Case study - Plant disease diagnosis (correlation vs. causal approach)

**Key insight:

1219

r/selfhosted•

Hit the classic "works on my machine" problem yesterday. Client's machine was taking 2-3 hours to build what took me 15 minutes locally. Docker was supposed to solve this, but turns out it doesn't solve resource constraints.

The Stack:

- 5 backend services

- PostgreSQL, Redis, Minio

- Traefik (API gateway with auto SSL)

- Ollama (LLM inference)

- Frontend service

Initial Options:

- AWS EC2 t3.2xlarge: ~$300-400/month

- GCP n2-standard-8: ~$280-350/month

- Client's local machine: Painfully slow

Final Solution: Hostinger VPS

- 32GB RAM, 8 vCPUs, 400GB NVMe

- ~$70/month

- 80% cost savings

Results:

- Build time: 2-3 hours → 15-20 minutes

- Cold st

05

r/docker•

Hit the classic "works on my machine" problem yesterday. Client's machine was taking 2-3 hours to build what took me 15 minutes locally. Docker was supposed to solve this, but turns out it doesn't solve resource constraints.

The Stack:

- 5 backend services

- PostgreSQL, Redis, Minio

- Traefik (API gateway with auto SSL)

- Ollama (LLM inference)

- Frontend service

Initial Options:

- AWS EC2 t3.2xlarge: ~$300-400/month

- GCP n2-standard-8: ~$280-350/month

- Client's local machine: Painfully slow

Final Solution: Hostinger VPS

- 32GB RAM, 8 vCPUs, 400GB NVMe

- ~$70/month

- 80% cost savings

Results:

- Build time: 2-3 hours → 15-20 minutes

- Cold st

2815

r/expo•

Hey guys,

I am having an odd issue when trying to make a production build, see the attached screenshot.

Error happening during pod install

My app.json build properties look like this:

"plugins": [
      "@react-native-firebase/app",
      "@react-native-firebase/perf",
      "@react-native-firebase/crashlytics",
      "sentry-expo",
      [
        "expo-build-properties",
        {
          "android": {
            "multiDexEnabled": true,
            "compileSdkVersion": 35,
            "targetSdkVersion": 35,
 
31

r/chemistry•

Hello everyone,

I am a computer scientist by profession, but I've always had a deep fascination with chemistry. I would really like to grasp Organic Chemistry and I know there's a lot of content out there on this topic but I am really confused on where to get started.

About My Current Knowledge:

  • Strong math/logic foundation from CS background
  • Basic general chemistry understanding (self-taught through Khan Academy and YouTube)
  • Comfortable with problem-solving and systematic thinking
  • Limited hands-on lab experience

My end Goals:

  • Build a solid theoretical foundation in organic chemistry
  • Eventually understand complex reaction mechanisms and synthesis pathways
  • Be able t
212

r/bioinformatics•

Hello everyone,

I would like to get into bioinformatics, I have a background in computer science and to be honest digging online has left me with more questions than answers. Could anyone please point me in the right direction, content-wise, when it comes to self-studying Bioinformatics.

54


r/golang•

Hey, so as a way to just keep my skills up to date and also give back to the community, I wanted to start contributing to open source but to be honest, I am utterly clueless where to start and what are some good Golang Open Source projects I can start contributing to.

112