Hello All, I am learning machine learning and I want to know about the real-time applications of ML, I know a few of them like Commute Predictions, Email, Healthcare, Robot. I have checked some machine learning applications but I want to explore more about it. Can anyone tell me or suggest me where i can find more real examples?
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Dude. Seriously. Wrong website to be posting this on.
This is a finance website, not technology. Go to reddit or some find a AI/ML/ Data Science forum.
Start with Kaggle, KDnuggets, and even Towards Data Science first.
In reality, your applications will be limited more by the availability of clean, labelled data rather than situations. Kaggle is probably the best source of decent data and usage examples.
This brings up a good point. One good application of ML might be to clean and align the data in the first place. Other is to extract certain features useful in an investment process.
Amateur Data Scientist: Let's see if some website (usually Kaggle) has this data.
Normal Data Scientist: Let's see if I can scrape some data online.
Data Scientist at Big Tech: Data engineering? That's for plebs.
Data Scientist on Adderall: I'm gonna manually collect the data
EDIT: Fake Data Scientist: Data? You mean the thing stored in Excel files?
Full circle data science cycle just to end up back in essentially AP / AR...nice.
ML is a shiny buzzterm that people will throw around but not understand. This falls in the realm of what the data science folks deal with, but that is back office stuff and far removed from the responsibilities of 95% of the people on this website. Maybe go check out Reddit or Blind or something
Since when is Data Science back office stuff?
It is very much back office. Some of the bbs even maintain data teams out of India
Since people want to discredit those whose jobs they don’t understand.
Deep Instinct - applied ML to antivirus/antimalware. The future is taking such ML and applying it broadly to all global applications
Reach out to @Malta
Thanks. @Milton has a lot better handle on ML than me though.
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