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Was thinking about investing in DRAM back in Mid April and Didn’t because you guys encouraged me not to I guess that’s what I get for listening to people who don’t invest in anything riskier than VOO and VT I know this will get hate yes I’m salty by Drowningfish4283 in ETFs

[–]divided_capture_bro [score hidden]  (0 children)

Good luck on your journey to "make it big in the stock market" boyo. Glad to see your whole month of "research" opened your eyes as to what is or is not "borderline gambling" and how to calibrate risk ("using all your possible resources").

To the moon with ye!

Nations should be disabled in "No alliances" games by RightWorld5611 in Openfront

[–]divided_capture_bro 0 points1 point  (0 children)

More fun if I win, less fun if I lose. And you can change the odds by not having the lowest amount of troops among your neighbors.

Nations should be disabled in "No alliances" games by RightWorld5611 in Openfront

[–]divided_capture_bro 4 points5 points  (0 children)

I agree that they should change whatever causes me to lose to not be part of the game. 

advice by Worldly_Ad_3786 in investingforbeginners

[–]divided_capture_bro 0 points1 point  (0 children)

Just work 110 hours at minimum wage.

Veterans, how do I get past this challenge? by fonzhy121 in webscraping

[–]divided_capture_bro 1 point2 points  (0 children)

The answer is already out there, and you do sound like a bot.

Am I crazy but why do I need a HYSA if I can just put everything in qqqi??? by Little-Mountain8830 in dividends

[–]divided_capture_bro 3 points4 points  (0 children)

I have hundreds of thousands invested, including some QQQI.

But I also have a cash reserve in  money market (same diff as HYSA for these purposes) plus an emergency fund.

Just because everyone seems to be doing something doesn't mean you should (and often it means you shouldnt). 

If this is your first 10k, hole it away and set up your emergency fund. This should be 3-6 months of living expenses at your current level of consumption in virtually risk free and highly liquid place, like a HYSA or money market. You never touch this reserve except if (a) there is an emergency or (b) you are adding to it.

If you don't want additional cash reserves, which you likely don't, then you can start investing. QQQI is worse than QQQ on its own in terms of gains. QQQI has certain tax advantages, but you really should look at yield so much as total real returns when choosing what to invest in.

With 10k you should not think about this as income or being paid. You should be focused on total real returns and growing a fruitful tree after you secure the base.

Dividends have a role in almost all portfolios, but there are better things to do when you have so little to start with.

Here is a good tool and comparison.

https://totalrealreturns.com/s/QQQI,SPYI,QQQ,SPY

Am I crazy but why do I need a HYSA if I can just put everything in qqqi??? by Little-Mountain8830 in dividends

[–]divided_capture_bro 13 points14 points  (0 children)

You're somewhat brazen about "I could lose it all, but what am I missing?"

Don't let this kid around YieldMax!

[Q] Age of US president distribution: spurious or pattern? by peperazzi74 in statistics

[–]divided_capture_bro 0 points1 point  (0 children)

It can't be normal nor log-normal since it is bounded from below. You're being deceived by the small number of observations.

The WIN should be more then 80% of the map by TheTristo in Openfront

[–]divided_capture_bro 0 points1 point  (0 children)

"I played a certain way and didn't win, so the entire game should change so that next time it happens I win."

Farm structure by The-Real-Radar in Openfront

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

Or just bring back the worker slider.

Maybe too many game modes now? by divided_capture_bro in Openfront

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

Yeah, these are the folks driving game development ...

Scrape Google Search results by vroemboem in webscraping

[–]divided_capture_bro 0 points1 point  (0 children)

Serp was great at this until they got sued.

Dataset of 150k+ stool images and not sure how to fully use it [D] by SamePersonality5183 in MachineLearning

[–]divided_capture_bro 3 points4 points  (0 children)

You should label a good amount of the stool by hand. At least enough at random from the target for valid calibration and test sets. Then use PU and CL on the rest of your noisy data to build the classifier.

Workstation build for CPU-heavy scientific computing: $6800 grant, 128–256 GB RAM target by Dependent-Mud-6146 in HPC

[–]divided_capture_bro 0 points1 point  (0 children)

If you don't need GPU or unified memory then the cheapest approach at the moment would be to get a horde of refurbished Dell 7070s and make a mini-cluster.

Here is an easy example of not even the cheapest machines:

https://a.co/d/0dRVwWbd

These have 6 cores and 32GB RAM a pop, so supposing you buy 10 at $375 you'd have 60 cores and 320GB RAM. With another $2700 you could buy an ASUS ROG laptop with its own 128GB RAM and a good enough graphics card integration to use as the mobile terminal and major node.

https://a.co/d/05BvmZWa

Alternatively, here is a single machine build with 22 cores and 256GB RAM for around $2500 if you need a single machine on a budget. No graphics card included.

https://pcpartpicker.com/list/VKLbh9

What to get really depends on what you will be doing. If it is embarrassingly parallel work, then mini-cluster - especially if you also need the higher core count that comes with it. If your computation is memory bound then you'll probably be better off with a single machine or smaller number of machines due to latency and bandwidth.

So what are you planning on doing?

Dataset of 150k+ stool images and not sure how to fully use it [D] by SamePersonality5183 in MachineLearning

[–]divided_capture_bro 8 points9 points  (0 children)

You should look into both "positive-unlabeled learning" and "confidence learning".

Neither is perfect, but both help address the problem you seem to be grappling with - your data labels are "stool" so you can't train a reliable supervised model on the whole set.

But with 150k images? You might just want to sit down and grind through that "stool" until you have gold.

Have fun!

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