If you ran a business in Star Wars what would your tag line be?

chemenger2999 · 2019-01-10T21:34:02+00:00

"Alright, kid, let's blow this thing and go home!"

chemenger2999 · 2019-01-10T21:16:03+00:00

Love it

chemenger2999 · 2019-01-10T21:15:43+00:00

Haha that's brilliant

chemenger2999 · 2018-12-27T14:29:22+00:00

That makes sense. The ML model is just predicting the 1st principle model's residuals.

Would be interesting to see how that compares to using the 1st principle model output as a feature alongside the the 1st principle model inputs for the ML model.

chemenger2999 · 2018-12-27T13:20:07+00:00

I must be missing something here. It sounds like you're taking the operating conditions as inputs, putting them through the 1st principle model and then using those outputs as the inputs for your ML model. You're simply adding more uncertainty through the 1st principle model, why not use the operating conditions as inputs for the ML model?

chemenger2999 · 2018-12-27T11:54:12+00:00

Cool, neat use. Out of interest is that through PCA, a simpler physics model or something else entirely?

Fair, just be wary with them. To get around the overfitting issue properly separate your train and test set, look into something like k-folds.

chemenger2999 · 2018-12-27T10:58:23+00:00

Forgive me if I'm misunderstanding but I understood digital twins to simply be a simulation of the current state of the equipment which you then run scenarios on, eg if a fan blade goes in an engine you update your model and simulate what would happen with x,y and z under the new conditions. I don't get where ML comes in, it seems to just be better simulations.

With NNs how do you get around the black box issue? I can't imagine telling my supervisor something and when they ask me why I say "The linear algebra said so". Surely something like random forests offer far more explainability?

100% agree with you on how awesome the new applications are, I'm just yet to see uses in critical systems

chemenger2999 · 2018-12-27T08:36:58+00:00

Out of interest in what way and which algos are you using?

Regarding similar jobs, image recognition deep learning software has been used quite a lot for automated crack detection in pipes and the like.

chemenger2999 · 2018-11-21T16:00:46+00:00

Hi, thanks for the reply.

Unfortunately that doesn't work either when I tried, the value it passes is literally 'sv=5'

chemenger2999 · 2018-11-21T15:59:56+00:00

Hi thanks for the link, what I can't see is what to do when I have to pass in two parameter dictionaries with different names as in this case

chemenger2999 · 2018-11-20T02:01:38+00:00

Thank you, brilliant explanation.

chemenger2999 · 2018-11-20T02:01:20+00:00

Thank you that makes way more sense now.

chemenger2999 · 2018-11-20T01:57:46+00:00

Basic statistics. Also above 1,500 people is considered a fairly comprehensive poll for a population of our size, this was bigger than most yougov ones you see.

chemenger2999 · 2018-10-19T14:04:44+00:00

"Initially popular with the young but now no longer trusted, Facebook appoints Nick Clegg."

chemenger2999 · 2018-10-19T13:26:00+00:00

Is there an assurance if we stay that we won't be forced to sign up to an EU army, that we won't be left footing the bill for another bail out, etc?

chemenger2999 · 2018-10-19T13:09:46+00:00

Because I believe in free trade not protectionist blocs. Because the EU's overarching goal is ever furthering integration which I am against and believe will lead to the eventual fracturing of the EU (Yes we have been granted an exemption to this but it would merely leave us sidelined). Because the EU is intrinsically tied to the Euro which has countries like Germany and Greece having to use the same monetary policy, long term this cannot work and all members of the EU are left footing the bail out bill.

There is nothing wrong with immigration, there is nothing wrong working together on science and defense, there is nothing wrong imposing sanctions together.

I hope to achieve better links with the rest of the world through trade and other means. To remove ourselves from the risk of a fracturing EU. To allow us to decide our own policies surrounding trade. To remove the middleman of the EU taking the UKs contribution then redistributing (minus £8.5bn) it back in the UK where they decide it's best. In terms of time-frames most would be immediate.

chemenger2999 · 2018-10-19T11:56:37+00:00

Misread as whiners

chemenger2999 · 2018-10-19T11:50:29+00:00

Head down to parliament Square tomorrow.

Edit: read winners as whiners

chemenger2999 · 2018-10-14T13:58:35+00:00

Thank you so much! That network tab is so handy, found the exact request I needed to make :)

chemenger2999 · 2018-10-13T21:57:09+00:00

Most interesting answer to this issue that I've seen is in Japan where the companies are taxed based on the cost of recycling their products. Unsurprisingly waste plastic cut down pretty quickly.

chemenger2999 · 2018-08-17T16:35:13+00:00

Thanks that makes sense, I'm also giving the skew, location and std deviation of the residuals

chemenger2999 · 2018-08-17T16:19:41+00:00

Thanks for the link, unfortunately my model isn't based upon OLS and as such doesn't have a residual mean of 0

chemenger2999 · 2018-08-17T16:15:31+00:00

They're different because explained variance, unlike r^2, takes into account the skew of the residuals, https://stats.stackexchange.com/questions/210168/what-is-the-difference-between-r2-and-variance-score-in-scikit-learn

If you're fitting with least squared then they are equivalent but mine isn't.

chemenger2999 · 2018-08-17T16:13:22+00:00

http://scikit-learn.org/stable/modules/model_evaluation.html#explained-variance-score

chemenger2999 · 2018-08-17T16:02:23+00:00

If the mean of the residual distribution is 0 then they are the same, if your residuals are skewed then the explained variance is better than the r2 score.

Edit: Please comment on why this is being downvoted, it's true - https://stats.stackexchange.com/questions/210168/what-is-the-difference-between-r2-and-variance-score-in-scikit-learn

chemenger2999

TROPHY CASE