Predict probability of car accidents based on the sensors of your smartphone
How do you turn these predictions into cash?
Highly targeted ads for lawyers and healthcare after a crash.
Ask HN: Where is AI/ML actually adding value at your company?
111–120 of 200 posts
Re: Ask HN: Where is AI/ML actually adding value at your company?
#112Earlier quoted context omitted.
So is this like the Amazon "feature" where I buy a coffee table on Amazon, then I get suggested to buy a coffee table EVERY DAY for 3 months. Literally row after row of coffee table? Because there must be a big pool of people who buy 1 coffee table buying more coffee tables immediately after?
Haha yes, I remember seeing washing machines on my landing page for months after I bought one from Amazon. I mean, how many of them could a person need? Seriously though, I don't understand why it's so hard to take this effect into account, as there should be a very strong negative correlation between a purchase in a given category and the probability of buying an article from that category in the near future, so eve…
The simple algorithm is to build a correlation matrix between of purchases between all items in the store. Then, when given an item to generate recommendations for, you provide the other items with the highest scores, with a "top sellers" correction for the items that are correlated with everything.
I used to work for a company that implemented similar recommendation services. We approached this problem by modelling whether or not a category was likely to have recurring purchases.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#113Earlier quoted context omitted.
It's interesting to me that with all the ML hype, it's still not clear what constitutes ML. A basic k-means or naive Bayes approach will show up in ML textbooks, but those aren't clearly different from "use some statistics to make a prediction". There's an interesting group of marginal approaches that have existed as-is for years, but have increasingly focused their branding on machine learning as its profile has ris…
> but those aren't clearly different from "use some statistics to make a prediction" You can reduce 90% of ML to this. Even neural networks are based on statistics. If I have to draw a line between statistics and ML is that ML learns, it means it can predict things, however statistics only gives you information about the data you have. But for sure statistics and ML overlap a lot.
Predicting things seems to be the primary purpose of statistics in many cases.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#114FinTech: Credit risk modeling. Spend prediction. Loss prediction. Fraud and AML detection. Intrusion detection. Email routing. Bandit testing. Optimizing planning/ task scheduling. Customer segmentation. Face- and document detection. Search/analytics. Chat bots. Sentiment analysis. Topic analysis. Churn detection.
I can imagine that fin tech will love it. Everything will go wrong one day in the future and no one will know the reason.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#115Earlier quoted context omitted.
> but those aren't clearly different from "use some statistics to make a prediction" You can reduce 90% of ML to this. Even neural networks are based on statistics. If I have to draw a line between statistics and ML is that ML learns, it means it can predict things, however statistics only gives you information about the data you have. But for sure statistics and ML overlap a lot.
> it means it can predict things All the other Math areas call that kind of prediction by "interpolation". It's not a magical property that only ML has. I'd draw the line by the name. An algorithm is ML if it includes the computer deriving a complex model based on data gathered on the field.
Indeed.
A lot of it went over the head because I don't know much classical statistics, but I read some articles by stats people that basically boiled down to the distinction not being in the techniques but in common assumptions, rigor, culture, etc.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#116One of my coworkers used basic reinforcement learning to automate a task someone used to have to do manually. We have two data ingestion pipelines. One that we ingest immediately, and a second for our larger customers which is throttled during the day and ingested at night. For the throttled pipeline, we initially had hard coded rate limits, but as we made changes to our infrastructure, the throttle was processing a…
It sounds like a simple PID loop would be sufficient to solve this problem. You have a control valve and an error signal. No need for anything more complicated.
It is a PID loop, which I guess may not be considered to be actual reinforcement learning.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#117Deep learning to identify available space in kit from images! We are dead proud of it !
Trad learning for many applicatons : fault detection, risk management for installations, job allocation, incident detection (early warning of big things), content recommendation, media purchase advice, others....
Probabilistic learning for inventory repair - but this is not yet to impact, the results are great but the advice has not yet been ratified and productionised.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#118Earlier quoted context omitted.
Got it. Thanks for the clarification. It is true that people are using ML where other, simpler options are available, but I wouldn't immediate discount the value of using nets for your problem. I don't know enough about your problem/implementation to speak to it really.
Yes, thanks for highlighting the deficiency in my original post. I can see it is easily interpretated as you did. I added a clarification (or what I hope is one).
I know a few companies riding the ml/nn train. Any chance you are based in NYC?
Re: Ask HN: Where is AI/ML actually adding value at your company?
#119I'm using some of the pre-built libraries to find/fix low hanging fruit of data quality issues for https://www.findlectures.com, for instance finding speaker names.
The first pass is usually a regex to find names, then for what's left run a natural language tool to find candidate names, and then manual entry.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#120At Persyst we use neural networks for EEG interpretation. Our latest version has human-level performance for epileptogenic spike detection. We are now working on bringing the seizure detection algorithm to human-level performance.
I was wondering the other day if anyone had applied this technology to EKGs. Do you also do that?
Funny you should ask, detecting QRS complexes has been my first project since starting here. I know of a few papers where the authors have applied neural networks to EKGs, but the applications have been purely academic. I'm not aware of any other companies that use NNs in practice. (There may well be some, but they tend to be secretive about how their algorithms work.) At any rate, the false positive rate of our software is now about an order of magnitude lower than anything else on the market.