Re:Machine Learning Can't Handle Long-Term Time-Series Data
by scythe on Sunday January 05, 2020 @11:51AM
(#21962142)
To be clear, you’re not disagreeing that the author identifies a problem—you disagree (as I do) that “organized fractally” is not a meaningful phrase that can guide the development of new AI, correct?
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Re:Machine Learning Can't Handle Long-Term Time-Series Data
by mlthoughts2018 on Sunday January 05, 2020 @12:15PM
(#21962327)
I do disagree with the author’s claim. For example, Bayesian ARIMA is absolutely a kind of machine learning model, and can do very well in some long term time series applications.
Posts like these usually want to create a strawman narrow definition of what is allowed to count as “machine learning” and the work backwards to say that subset of models can’t handle some type of problem.
Machine learning is just statistical modeling. To the extent that any kind of statistical modeling adequately solves long term time series inference goals, then so does machine learning.