Machine learning in trading: theory, models, practice and algo-trading - page 2315
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really explains it in such a way that it's easier to ask Napoleons in an insane asylum
There are no predictions in quantum physics, there are calculations of uncertainties, or probabilities.)
In quantum physics there are no predictions, there are calculations of uncertainties, well, or probabilities.)
The scope seems to have been touched upon, but not disclosed at all. Instead of it some porridge from the babushkoy rota began
The field of application seemed to be touched upon, but was not disclosed at all. Instead, some kind of mush from the babka company began.
Of today's gibberish on and around AI into science, less than a hundredth of a percent....
Do you agree?
of today's nonsense on AI and near AI into science would be less than one hundred percent....
Agreed?
Depends on what science)
there are interesting tricks from retraining, but they did not disclose them, and where else to read about it have not found yetit depends on what science )
there are interesting features from retraining, but they have not opened them, and where else to read about it i could not findscience is knowledge that is used. no matter what the name of the science))))
uncertainty prediction is an interesting thing
They have a link to an article there - at first glance just the usual Bayesian plus normal distributions.
They have a link to an article there - at first glance just a regular Bayesian plus normal distributions.
I just did not understand what button to press to get better results for classification
for regression, just an example.
i have understood that by default the maximum gradient sampling is used (kind of a new feature)
or it is just built-in by default and i don't need to do anything
By the way, catbust is very cool in terms of retraining... it's very hard to make it retrain. If the dataset is crap... ...it will learn badly and not remember all the options.Watching another video for now
science is knowledge that is used. no matter what the name of the science))))
there's nothing wrong with knowledge, it's just applications that need to be considered
The boosting algorithm itself is still very cool. If only we could get some more normal speakers from the studioWell, there's nothing wrong with knowledge, you just need to look at the areas of application
The boosting algorithm itself is still very cool. If only we could get some more normal speakers from the studio.(this is all sophisms))) Without intermediate knowledge there is no knowledge)) anything happens at the intermediate stage, the times of change are usually similar to the SB)))