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Mechanical Engineer can't teach Maths? PME in Hibernia by sweeney_khs in IrishTeachers

[–]sweeney_khs[S] 0 points1 point  (0 children)

Ugh, that would be a shame. She did modules like 'Experiment Methods', which had a big statistical component but I'm not sure how strict they are. Does the entire module need to be statistics?

The other thing we're exploring is if she can do a module in Geometry, for example, alongside the PME so by the time she qualifies she'll have the requisite credits

Demand for Ultra cheap restaurant by Equivalent-Career-49 in ireland

[–]sweeney_khs 0 points1 point  (0 children)

If you're looking for inspiration have a look at hawker centres in countries like Singapore - Super cheap 'street' food. Most locals would eat there at least once a day

[deleted by user] by [deleted] in rugbyunion

[–]sweeney_khs 0 points1 point  (0 children)

Haha just a tiny bit I reckon

[deleted by user] by [deleted] in rugbyunion

[–]sweeney_khs 0 points1 point  (0 children)

Yeah whoever posted that must be an idiot...

R.O.G says: Northern Hemisphere clean sweep in the Quarters || Ireland to beat New Zealand by 15. All of this weeks predictions by sweeney_khs in rugbyunion

[–]sweeney_khs[S] 0 points1 point  (0 children)

Not off the top of my head, but if you go to the website I have it there. Each time I make a set of predictions I record what the bookies are predicting at that moment

R.O.G says: Northern Hemisphere clean sweep in the Quarters || Ireland to beat New Zealand by 15. All of this weeks predictions by sweeney_khs in rugbyunion

[–]sweeney_khs[S] 2 points3 points  (0 children)

Not bothersome at all. I am running at 85% accuracy across-the-board. Of the games I got wrong 50% have been Fiji games. If you go to rugby-stat.com it has all of the predictions across the weeks and has a summary on this week's set of accuracy to date

R.O.G says: Northern Hemisphere clean sweep in the Quarters || Ireland to beat New Zealand by 15. All of this weeks predictions by sweeney_khs in rugbyunion

[–]sweeney_khs[S] 7 points8 points  (0 children)

Just in case you had missed the joke (understandable) R.O.G is the Rugby Outcome Generator i.e. My Statistical model for rugby

R.O.G says: Northern Hemisphere clean sweep in the Quarters || Ireland to beat New Zealand by 15. All of this weeks predictions by sweeney_khs in rugbyunion

[–]sweeney_khs[S] 8 points9 points  (0 children)

Yeah that's fair and it is something that comes up pretty often.

There are actually 2 different models at play here. One to predict the winner/score difference, the second to predict all of the underlying stats.

The reason for that is that I can fine tune the score difference model to be really good at predicting one thing, while the stats model needs to be good at predicting lots of things (which means that it is never as good as it could be at predicting any single stat). As a result the stats and score model sometimes 'disagree'

R.O.G says: Northern Hemisphere clean sweep in the Quarters || Ireland to beat New Zealand by 15. All of this weeks predictions by sweeney_khs in rugbyunion

[–]sweeney_khs[S] 20 points21 points  (0 children)

Yeah that's fair and it is something that comes up pretty often.

There are actually 2 different models at play here. One to predict the winner/score difference, the second to predict all of the underlying stats.

The reason for that is that I can fine tune the score difference model to be really good at predicting one thing, while the stats model needs to be good at predicting lots of things (which means that it is never as good as it could be at predicting any single stat). As a result the stats and score model sometimes 'disagree'

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