Machine learning in trading: theory, models, practice and algo-trading - page 580
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Thank you. I wonder if there are any monographs, exist in the nature?
did not find... only on the forests saw from Breyman - the creator of the forest
...
I'd like something big and detailed.)
... and thorough.
Zykov A.A. Fundamentals of graph theory. -- M.: Nauka. Editor-in-chief, Physics and Mathematics, 1987.
A systematic introduction to graph theory, organized according to the internal logic of its development.
There are some links in the network where you can download it.
Why not a tractor assembly manual?
A new version of the library for connecting Python to MT5 has been posted. I remind the linkhttps://github.com/RandomKori/Py36MT5 But there are problems. In Visual Studio the test project works as it should, but in MT there are some unclear problems. Now the library normally works with the directory where the Python script is located. I don't know how to debug it with MT. MT is protected from the debugger. Maybe someone knows how to debug?
Why not a tractor assembly manual?
You're just making fun of me?
Man, I give you useful information, and in response ... you're like a teenager, you're rude, and you think you're the best wit... pathetic.
You probably have had enough of one book, like some characters here...
Is that your idea of a joke?
Man, I give you useful information, and in response ... you're like a teenager, rude, and you think you're the ultimate wit... it's pathetic.
You've probably had enough of one book, like some of the characters here...
what's useful in there? how to build a graph-tree? very useful...
you have to read the whole book because of this?
what's useful in there? how to build a graph-tree? very useful... a stick of cucumber
is that why you have to read the whole book?
that's why you're fidgeting around on top of it, because you don't have a thorough knowledge, and you don't want to have. you don't have the knowledge and understanding. A book and some articles you read is not enough for that.
That's why you're fidgeting over the top, because you don't have any solid knowledge, and you don't want to have any. You don't have knowledge and understanding. And for that, one book and a few articles you once read are not enough.
How to live, how to live... panic-panic... go learn the multiplication table and the theory and ontology of knowledge
Thank you. I wonder if there are any monographs, exist in the nature?
Stop fooling around and take R: the code must be accompanied by a link to a source that describes the theory of the code.
Here are references to Breiman's classical algorithm:
Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.
Breiman, L (2002), "Manual On Setting Up, Using, And Understanding Random Forests V3.1", http://oz.berkeley.edu/users/breiman/Using_random_forests_V3.1.pdf.
Also, if one uses R, there are already a wide variety of forests collected there, and one would see that there are other forests besides randomForest that specify a wide variety of nuances of the original id.
For example, randomForestSRC, randomUniformForest.
The most interesting and efficient algorithm of the same breed is ada.
Here are the references (these are all from the documentation of the R packages)
Friedman, J. (1999). Greedy Function Approximation: A Gradient Boosting Machine. TechnicalReport, Department of Statistics, Standford University.
Friedman, J., Hastie, T., and Tibshirani, R. (2000). Additive Logistic Regression: A statistical viewof boosting. Annals of Statistics, 28(2), 337-374.
Friedman, J. (2002). Stochastic Gradient Boosting. Coputational Statistics \& Data Analysis 38.Culp, M., Johnson, K., Michailidis, G. (2006). ada: an R Package for Stochastic Boosting Journalof Statistical Software, 16.
There are several varieties of this ada.
And here is R itself making thematic selections.
On trees:
By very close tree relatives:
There are also wrappers, for example, a very interesting one for Maxim on predictor estimation algorithm:
And when I write that you use rural podlouches, I mean exactly the following circumstances:
AdaBoost is no better than bagging for forex because it overfits badly, especially on large dimension data... moreover, it is already obsolete in its class, there is xgboost. and the rest is still a long way off :)
I don't really believe in importers on forex either... but it's good to get familiar with it for general education, for example doping gini to alglieb