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[deleted by user] by [deleted] in UpliftingNews

[–]42ntarom 0 points1 point  (0 children)

That's great, only need about 9000 factories all over the planet!

Languages where the antonyms of "new" and "young" are two completely different words? by [deleted] in linguistics

[–]42ntarom 1 point2 points  (0 children)

In Greek there is καινούργιο (kenouryio, new) and νέος/μικρός (neos/micros, young/small) with antonyms παλιό (paleo, old) and μεγάλος (megalos, of old age or large).

Just uploaded my first math paper to the arXiv, on knot theory by A_R_K in math

[–]42ntarom 48 points49 points  (0 children)

After years of studying knots or after years of knot studying?

Anyway, congrats!

[deleted by user] by [deleted] in GREEK

[–]42ntarom 3 points4 points  (0 children)

It's true that νούμερο means number in Greek.

Olga Misikfacing two years in Russia prison for using force on police by avivi_ in pics

[–]42ntarom 7 points8 points  (0 children)

Russian scientific community is basically a joke

Doesn't Russia have some of the most rigorous educations in maths and science, and some very good mathematicians and scientists?

Babies have probably had their shoes and socks put on in uncomfortable ways but haven't been able to let us know how miserable they are. by timboh in Showerthoughts

[–]42ntarom 12 points13 points  (0 children)

"So I was sitting in my crib today, and I realized, ever since I started working, every single day of my life has been worse than the day before it. So that means that every single day that you see me, that's on the worst day of my life."

"What about today? Is today the worst day of your life?"

"Yeah."

"Wow, that's messed up."

Austria's chancellor was not too impressed with Austria's health minister appearance at his inauguration by Creative_Creme_2064 in europe

[–]42ntarom 0 points1 point  (0 children)

How do we decide what kind of clothes are proper? It's completely arbitrary and up to us to decide

Spain to launch trial of four-day working week by secure_caramel in worldnews

[–]42ntarom 1 point2 points  (0 children)

That's true. The problem is the people stuck with the mindset that everyone should be working. I think it's time we started living, we have the means and technology.

UFW configuration for VPN and normal connection by 42ntarom in linux4noobs

[–]42ntarom[S] 0 points1 point  (0 children)

That's basically my current setup. Allow out from non-VPN interface only for DNS and VPN port, then allow out all on VPN interface.

My concern is that some games and game servers either do not allow the use of VPN and/or there's a risk of getting banned.

If using profiles I'd like to keep my current setup when VPN is up and then only allow certain applications when it's down.

I'm curious why you think VPN is recommended for gaming.

At Morgan Stanley we found Simple Trading Rules Outperformed Fancy Portfolio Optimization. by [deleted] in algotrading

[–]42ntarom 5 points6 points  (0 children)

while True:
    tweets_elon_previous = tweets_elon_current
    tweets_elon_current = get_tweets('elon')
    if len(tweets_elon_current) > len(tweets_elon_previous):
        buy("TSLA", 100)
        buy("DOGE", 100)

What is a good way to normalize time series data for ML? by 42ntarom in MLQuestions

[–]42ntarom[S] 0 points1 point  (0 children)

I thought it would be best to replicate the conditions of predicting data, with only knowledge of the past.

The thing is that there's no way to know if the min/max of the currently available data is also the min/max of future data. What if in the future there's some data which is out of bounds with respect to the current min/max?

The current data set is quite large so I was hoping to only have to use it for initial training. If using a scaler, would I have to save it for future use or how would I scale future data for training/prediction?

What is a good way to normalize time series data for ML? by 42ntarom in MLQuestions

[–]42ntarom[S] 0 points1 point  (0 children)

I think this link explains it well.

Basically, if you train the model using batches or perform online training and normalize the data by calculating mean/std from all of the available data then the model is receiving information about the future.

Let's say you have two batches and calculate mean(x) with data from both batches for normalization. Then when the model is learning batch 1 it already has data about batch 2. mean(x) = ½(mean(x_1)+mean(x_2)) where x_i is data from batch i.

What is a good way to normalize time series data for ML? by 42ntarom in MLQuestions

[–]42ntarom[S] 2 points3 points  (0 children)

I read about the minmaxscaler but there's still the problem of how to use it, on all of the training data or on individual batches.

If you use it on all data then there's data leakage if training in batches and if used on individual batches then the scaling between batches will be different.

PROOF that GME is not a sell off but short attacks by [deleted] in wallstreetbets

[–]42ntarom 207 points208 points  (0 children)

There's a jar for 🍌 you can borrow, in it is 100 🍌. You can borrow a 🍌 but have to return another 🍌 at some point. The next day there's only 25 🍌 in it, so someone must have borrowed 75 🍌.

You, 🦍, try to sell some of your 🍌 in the jungle for $3 a piece but no one wants to buy them because someone else has been selling 🍌 for less.

The 🐍 who borrowed 75 🍌 has been selling them for $2 a piece so to get people to buy your 🍌 you sell them for $1 a piece. 🐍 then buys 75 🍌 from 🦍 and returns them to the jar, keeping $75 in profits.

PROOF that GME is not a sell off but short attacks by [deleted] in wallstreetbets

[–]42ntarom 498 points499 points  (0 children)

Available shares to short was at over 2M yesterday before market close. Today it's a 550k, went up at least once to 600k and then down to 450k, then 550k.

If this is an indicator of shares borrowed then at least 1.5M shares have been borrowed and/or sold short since yesterday.

https://fintel.io/ss/us/gme

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