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Joined: February 21st, 2010, 12:58 pm

Re: Machine learning for fun, to pay your rent or whatever

November 12th, 2017, 9:53 am

 
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Cuchulainn
Posts: 22932
Joined: July 16th, 2004, 7:38 am

Re: Machine learning for fun, to pay your rent or whatever

November 12th, 2017, 5:42 pm

 
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Joined: February 21st, 2010, 12:58 pm

Re: Machine learning for fun, to pay your rent or whatever

December 16th, 2017, 7:37 pm

Satellites Are Reshaping How Traders Track Earthly Commodities

Article title pushes a bit too much. Sorry for that.
 
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Cuchulainn
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Joined: July 16th, 2004, 7:38 am

Re: Machine learning for fun, to pay your rent or whatever

December 16th, 2017, 8:39 pm

Satellites Are Reshaping How Traders Track Earthly Commodities

Article title pushes a bit too much. Sorry for that.
Is this a new form of industrial espionage?

 how many utility vault grates are there in London?
 
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Cuchulainn
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Re: Machine learning for fun, to pay your rent or whatever

December 18th, 2017, 11:52 am

Can you write an AI bot to do the job of software testers and maintenance programmers?
 
 
 
 
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Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 4:25 pm

The M4 consists of 100,000 time series of Yearly, Quarterly, Monthly and Other (weekly, daily, hourly and additional) data. (m4)
I'm afraid my laptop would not survive.
 
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Traden4Alpha
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Joined: September 20th, 2002, 8:30 pm

Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 5:07 pm

Cool contest!

It looks like these may be all {given X(t), predict X(t+)} time series rather than {given [X,Y], predict Y[i+] from X[i+]} data sets?
 
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outrun
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Joined: January 1st, 1970, 12:00 am

Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 7:23 pm

Cool contest!

It looks like these may be all {given X(t), predict X(t+)} time series rather than {given [X,Y], predict Y[i+] from X[i+]} data sets?

For M3 they have data on various timescales (annual, quarterly, monthly,..) and sometimes as little a dozen data points. In not sure if you're allowed to correlate on point in time between series (or aditional series you can add yourself)?
 
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Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 8:15 pm

tag: "there is a machine learning contest"
outrun: "a 20k prize"
t4a: "cool contest!"
that's disappointing...
 
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Joined: February 21st, 2010, 12:58 pm

Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 8:16 pm

tag: "there is a machine learning contest"
outrun: "a 20k prize"
t4a: "cool contest!"
that is disappointing...
Last edited by tags on March 14th, 2018, 12:11 pm, edited 1 time in total.
 
User avatar
tags
Topic Author
Posts: 3603
Joined: February 21st, 2010, 12:58 pm

Re: Machine learning for fun, to pay your rent or whatever

December 20th, 2017, 8:16 pm

tag: "there is a machine learning contest"
outrun: "a 20k prize"
t4a: "cool contest!"
that is disappointing...
 
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Traden4Alpha
Posts: 3300
Joined: September 20th, 2002, 8:30 pm

Re: Machine learning for fun, to pay your rent or whatever

December 21st, 2017, 12:01 am


Thanks! €20k is nice incentive he has organized.
Cool contest!

It looks like these may be all {given X(t), predict X(t+)} time series rather than {given [X,Y], predict Y[i+] from X[i+]} data sets?

For M3 they have data on various timescales (annual, quarterly, monthly,..) and sometimes as little a dozen data points. In not sure if you're allowed to correlate on point in time between series (or aditional series you can add yourself)?
Why not? Wouldn't most ML approaches automagically notice correlation patterns among the data series and exploit them? If the ML system shares state between it's analyses of multiple series, then it is implicitly using more than each data series in isolation.

The use of additional data series seems a bit trickier. It might be considered "cheating" or it might be entirely encouraged. If the goal is to create learning system capable of ingesting a novel corpus of data and making predictions, then attempting to augment the 100,000 provided series with additional series would be bad. But if the goal is to generate a general predictor that processes all of humanity's data and provides predictions, then augmenting the 100,000 data series is clearly a welcome solution.

Are the 100,000 data series meant to be the only training data or are they just the test data series?

And what about a hybrid system that generates "new" data series through functions of combinations of the original data?