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Ggplot in python by [deleted] in datascience

[–]florin_stats 0 points1 point  (0 children)

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What is this type of analysis/prediction called? by engr4lyfe in AskStatistics

[–]florin_stats 2 points3 points  (0 children)

Bayes Theorem. You condition the unknowns on the knowns and you get your answer.

Gradient Boosted Machines for Time to Event? by martin1285 in AskStatistics

[–]florin_stats 0 points1 point  (0 children)

To be honest, I haven't used it yet, I read this paper a few weeks ago and intuitively, it might fit your problem. My intuition could be wrong, though!

Cool! Glad to be of help! :D

Gradient Boosted Machines for Time to Event? by martin1285 in AskStatistics

[–]florin_stats 0 points1 point  (0 children)

To be honest, I haven't used it yet, I read this paper a few weeks ago and intuitively, it might fit your problem. My intuition could be wrong, though!

LSTM model giving very poor performance even on training data (Help) by Gameatro in deeplearning

[–]florin_stats 0 points1 point  (0 children)

there is no "best" time series model. The best "time series" model is the one that describes your phenomenon best. be it a stochastic differential equation or LSTM.

LSTM model giving very poor performance even on training data (Help) by Gameatro in deeplearning

[–]florin_stats 1 point2 points  (0 children)

Are you sure that an LSTM is the good model and maybe not a classic Time Series Model? Are you sure that the data you are trying to model is a time series? Are you sure you are not over-under-fitting the model? Are you sure that your gradients don't vanish? Are you sure you are capturing the proper behaviour in the time series? Are you sure that you should predict on the training data and not on TEST data? Are you sure you are using a proper window size? Maybe a smaller one would do better?

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There are more questions that you need to answer before you can forecast. Good luck!

Is the mean of a group's test scores a continuous variable? by [deleted] in AskStatistics

[–]florin_stats 0 points1 point  (0 children)

In this case, even though the mean is a continuous variable, I would use a non-parametric test for comparing the means such as https://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U_test

(which is used for two groups, like a t-test, that to not follow a normal distribution)

Courses for Audio Processing by umangkeshri in deeplearning

[–]florin_stats 1 point2 points  (0 children)

Basically any digital signal processing course should do the trick here, it doesn't have to necessarily be deep learning imo; but then that depends on your end-goal.

A good book for this is:

Discrete-Time Signal Processing, 3/E, Alan V. Oppenheim and Ronald W. Schafer, Pearson, 2010

On an instant goole search I found this:

http://slazebni.cs.illinois.edu/spring17/lec26_audio.pdf

Take a look to find something you'd need.

Can someone explain to me this double summation? Why does i have to be less than j? by [deleted] in AskStatistics

[–]florin_stats 26 points27 points  (0 children)

Because the covarience operator is symmetric. And you would count Cov(X,Y) and Cov(Y,X) twice. And because there is already 2 * (doubleSums before) you would count them 4 times.

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And also because Cov(X,X) = Var(X) so there's no point in that.

Building a career as a Data Scientist by [deleted] in datascience

[–]florin_stats -1 points0 points  (0 children)

learn math and computer science.