Machine learning in trading: theory, models, practice and algo-trading - page 3375
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If they can be written in a table but cannot be written in a matrix)
There are such networks, yes. But our topic requires networks for working with sequences rather than tables. Because they are sequences from the beginning.
I'm in a mood.
Can you prove that they are sequences? Apart from the fact that they are sequences.
topics need more networks to work with sequences rather than tables.
There are such networks, yes. But our topic requires networks for working with sequences rather than tables. Because they are sequences from the beginning.
The first option, tables - Excel spreadsheets, each row has a time marker. The most familiar form of financial data.
Second option, handwritten letters. Learning with a teacher, with a printed letter as the teacher, and a column below it of handwritten variants of that letter.
Comparing bousting and NS. Which is more suitable and for which case? Or is it equivalent?
PS.
From Rattle, which has rpart (simple tree), rf, ada, SVM, glm, nnet (probably the simplest NS). The worst result is with rpart, second from the end is nnet, the other four are about the same, depends on the input data.
I'm in such a mood.
can you prove that they're sequences? Apart from the fact that they're sequences.
I don't get it, sequences can't be in table format?