True about ML, but GAN’s is a different animal
Italy is a very beautiful country to live, but is low on innovation and economics. Education standard is generally lower and the smart people...
To summarize, you are looking for a representative sample. Suppose you have a method using options and want to replicate a bear market like...
Sometimes I say the youngsters (25-30y olds) to do something like this. Just take the 'decade approach'. These people are not dumb, math phd's...
I read about it, some even 100%, but only with bars prior to 2021
I understand how you think, but actually behavioral and social science relies on math. That’s why you see so many people with this background in...
Not necessarily true, data mining is an industry. biggest problems arise when this is mixed with hope and cognitive bias
I work in data science, i understand what you mean. One could also use k-fold cross validation for that matter. However, when the (hypothetical)...
So if the method is tested on 15 years of data, you would wait for 7,5 years? Not practical imo. Better slowly advance with real money
To provide reasonable answer you need to give more details about your ‘train set’ Imo the number 1 question for possible overfitting would be: do...
Guy in my street has an urus (lamborghini), but not that impressive at all for the (high) price. He'd better bought a Marauder. It has nice...
I do not know if this true-once-daily dosing would be the main driver for succes, but once-daily dosing does already exists. I personally have...
I think we have to wire $300 'banking transaction costs' into your nigerian account to get acces to the trillion-system?
Haha, more like, 0.75 isn't always more than 0.25
This is indeed a bit surprising. Considering myself, as an 'economist' who morphed into a 'data scientist' I found the field of the real data and...
I did some analysis on the thesis of seasonality, could be interesting to share. So this is only for data on spy, 1993-now. I've used weekly...
Interesting, will look it up! Was unknown with this field. With to post i was reffering to the 'standard' ml models, svm, knn etc, fwiw
With this kind of analysis it is always wise to look at the distribution of returns instead of averages, since outliers can distort averages. Then...
Machine learning is just modelling an outcome to variables. An outcome can be lineair or categoric. Machine learning is just modelling these...
You didn't mean in 1 day, right? ... What a gap!
Separate names with a comma.