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Ask HN: What do you use Machine Learning for?

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Re: Ask HN: What do you use Machine Learning for?

#22
post #5
post #2

Building a smart home security system, so you can be notified when your friends have arrived, or if someone is trying to break into your home. Machine learning is very useful here, as you can train the system to recognise what your friends look like, or what a break-in might look like.

How do you get the data for training how a break-in looks like?

Couldn't you just train it on genuine visitors and then use the probability of it being a genuine visitor to determine whether it is a break in?

Re: Ask HN: What do you use Machine Learning for?

#23
I am just getting into it, but I am primarily looking at it because I have about 8 months worth of home automation sensor data stored in a MySQL database thanks to my home automation software (thanks home-assistant!) and I want to see if ML can look at patterns from that sensor data and infer what to do in my apartment.

For instance when I get home (gps sensor) and when I open my front door (door binary sensor), can a system understand that I typically turn my TV on when that happens?

Re: Ask HN: What do you use Machine Learning for?

#24
post #5
post #2

Building a smart home security system, so you can be notified when your friends have arrived, or if someone is trying to break into your home. Machine learning is very useful here, as you can train the system to recognise what your friends look like, or what a break-in might look like.

How do you get the data for training how a break-in looks like?

possibly some kind of anomaly detection, but I'm not sure how you would model the data.

Re: Ask HN: What do you use Machine Learning for?

#28
post #21

I use Stanford NER to extract book titles and authors from HN comments. Previous thread: https://news.ycombinator.com/item?id=14202557

How do you disambiguate similar/identical titles?

Did you evaluate other NER against CoreNLP? e.g. how does spacy compare?

EDIT: answering my own question -- research here [1] ranks CoreNLP as the winner among CoreNLP, NLTK, spaCy, Lingpipe but AFAICT spaCy is competitive.

[1] https://aclweb.org/anthology/W/W16/W16-2703.pdf

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