I love Sam Harris, which is why I came on this Subreddit. But there is too much noise and sensationalism. So I made a feed where you can get alerts every time Sam comes out with something (podcast, video, article) that's posted anywhere on the internet.
Let me know what you think.
I love Skepticism and have been a part of this sub on and off for years. But there is too much noise and sensationalism on Reddit. I think this post covered it perfectly. I just want the amazing content from my favorite people without all the negativity.
So I made a feed where you can get alerts every time one of our favorite skeptics comes out with a podcast, video, article. I also have individual feeds for these people like Steven Pinker, Daniel Dennett, Sean Carroll, Julia Galef, Michael Shermer, Spencer Greenberg, and much more. Let me know what you think.
I'm posting this after reading the rules which are poorly enforced.
Buy it for life should be about quality items that deliver utility and survive regular use through the years either through superior design and build or through the ability to regularly repair and maintain the item.
Stop posting your items that have simply survived because you kept it in a drawer or box for decades.
Stop posting your obvious items: yes great your cheese knife survived decades, is anyone surprised?
Stop posting your obsolete items.
Go post about 100 year old brass door knobs in vintage and antique forums, it's not practical or meaningful here.
Stop asking about things that are obviously not bifl like underwear, pillows and portable electronics with non user replaceable batteries.
Stop posting your items which is exactly the same as what someone else posted within a matter of hours or days, co tribute to their thread instead.
I could go on but the mod team here is not enforcing their own rules and as a result the sub reddit is not very useful.
I have read about the signal-to-noise ratio being helpful in determining whether a strategy has been overfit. This seems especially important for machine learning based algos, but also for strategies as a whole that have a considerable amount of parameters. How would one go about quantifying this ratio? And once you have the ratio, is there any way to determine your chances of having an overfit strategy? I have yet to find good resources online showing an example of either calculation or usage of the signal-to-noise ratio.
Hi, first of all, please excuse my mistakes since english is not my first language. I'm just an electrical engineering major trying to finish her bachelor thesis. I'm having a hard time finding some parameters for my thesis and as my last resort, I have come to reddit for help. Does anyone know the typical noise figure, noise floor, noise temperature, and the SIR (signal-to-interference ratio) of a Direct Broadcast Satellite (DBS) receivers operating in the C -band? And if you could provide a reference, it would be great. Any help would be very much appreciated :)
I just published a small game on itch and was surprised just how many games are released there daily. How are your experiences with finding quality content / publishing your own content on itch? I do like that there is a large variety of experimental games on there, but it sure is difficult to sift through it.
Maybe some noise is good and this is a bad idea?
Something like WhaleRoom might be useful? 3box, but 3box looks abandoned? Or would this just be creating a MillionDAO (some alts have DAOs associated with them)??
The objective being to increase signal-to-noise ratio in community chat. For example, don't know if I'm talking to GPT-3 and trolls on here, or fellow Lions.
But this could be a bad idea, if Million gets stronger being exposed to chaos, which it very well may, in which case, ignore.
I want to compute the signal-to-noise ratio (SNR) of computed tomography (CT) images. If I apply the SNR formula to the pixel values of a raw, original CT image, I get a negative value - which is incorrect! Because theoretically, SNR should always be 0 or a positive number. SNR should never be a negative value.
To correct for this, my idea is to change the CT image from Hounsfield units (where pixel values can be negative) to a .PNG (where pixel values would be restricted to a range of 0 to 255). Thus this would always give an SNR value that is 0 or a positive number.
This is the best approach I could come up with. However, I am skeptical because data integrity is not maintained when converting an image in Hounsfield to a .PNG. In other words, the same image looks visually altered a bit.
Do you guys have any other suggestions? Or do you think my approach is the way to go?
I like the DD, and the shit posts can be pretty entertaining, but in the past few days the garbage to golden post ratio has turned for the worse. I read a really good post regarding the major players in this game earlier. BlackRock/Citadel/Melvin/SIG/Jane Street and a bunch of others I don't remember. Upshot of the thing, my interpretation of the OP or a commentor, was that retail is like a fly watching giant walruses fight. Retail holdings collectively amount to a significant percentage of ownership, but retail investors don't move shares like like big players do. We're along for their ride. BlackRock vs Citadel, or BlackRock backstopping Citadel via loaned shares? RC and friends as the saviour of GameStop, or RC and friends as the plant by BlackRock to gutfuck GameStop from the inside out? Or some other permutation that hasn't been mentioned? I dunno anymore.
The game is rigged against retail, that's absolutely clear. Are we gonna go $2M/share? Well, if the game is rigged against us, that likelihood is pretty low, I think that's a fair statement. Some of the things I'm reading in r/GME though, are like the worst sales pitches ever. "Once in a lifetime opportunity!" Really Lots of rockets in there doesn't make it true.
I'm following on Twitter a small number of people who post here and elsewhere, and whose posts have been informative, entertaining, and grounded in reality. But this sub seems to be sliding into utter silliness. A lot of the DD is misinformation being regugitated as absolute truth and the cornerstone of even larger piles of dogshit. Literally, a few comments into many highly awarded posts you find resounding "no that ain't how it actually is" replies, backed with unequivocal crystal clear evidence.
I don't know where I'm going with this. Thanks to u/deepfuckingvalue for getting me interested in this matter, and a few others with good, clear, accurate DD that's been helpful. But this place is turning into a dumpster. Buy and hold, that's all that retail can really do. And it will benefit holders, up to a point.
Yeah, I don't know where I was going with this. Ecuadorian jelly beans for you if you read this far though.
I wrote a bit of code for a basic KF algorithm to derive estimates from a noisy measurement. It’s a one dimensional thing. The noisy measurement is made from adding some white noise.
Now I am trying to generate better simulated measurements from the actual clean signal. What ranges of signal to noise ratio should I work with? I tried out 1-3.
What are some well curated and edited online magazines that are most information dense with less-to-no filler and noise?
I've had an okay experience with thecut.com and their partner the strategist. nylon mag, dazed, i-d, hypebae, seem okay though theres too much going on for me to browse those sites without feeling overwhelmed.
Where and how can i get the most bang for my buck information without feeling bogged down and overwhelmed and feel like im always playing catch up. Just the most necessary and most dense information possible?
I wouldnt mind book recommendations as well!
Those of you who went to school for fashion what textbooks do ya'll use?
Thanks! Hope my question makes sense to you guys! Love!
So, the last few weeks we've had a lot of new people discovering Monero, which is great, but has also led to a lot of "noise" threads, i.e., stuff that has been asked ad nauseam. I propose to sticky the Daily Discussion thread in favor of the newcomers thread, which would then be added to the OP of the Daily Discussion thread. We can add other informational links too. For example, links to the Monero SE, the GUI megathread, monero.how, and other informative stuff. New users should then post their questions in this thread. In addition, the mods would remove those "noise" threads and point / direct users to the Daily Discussion thread. Furthermore, I'd like to see engagement from the community, i.e., community members helping out new users in the Daily Discussion thread.
Let me know what you think of this idea and whether it can be improved somehow.
Hi,
Is there anyone who can help me with replacing 'zeroes' in a cell in an array (pixels from a picture) with 'nan' so I do not get this error message:
RuntimeWarning: divide by zero encountered in true_divide
ratio = np.divide(mg, mg_err)
image_data_mg = fits.open(map_gau)
image_data_mg_err = fits.open(map_gau_err)
mg = image_data_mg[0].data
mg_err = image_data_mg_err[0].data
ratio = np.divide(mg, mg_err)
this is my code btw. Trying to divide every pixel from the flux(gau) map with the error map(gau_err) to find a signal-to-noise record to make my data more accurate.
Today's an exciting day for us as we officially launch Cloudrail - a second generation security analysis tool for Terraform: http://indeni.com/cloudrail/
Basically, we looked at the good work done by the guys at checkov, tfsec and others, and decided to take it one step further. Cloudrail takes the TF plan, merges it in memory with a snapshot of the cloud account, and then runs context-aware rules on it. A few things that allows us to do:
- When we look at an S3 bucket's ACLs, we know if the account has public access block set or not. This allows us to ignore "public-acl" type settings if the account blocks it anyway.
- When we look at an IAM role/user/group, we can tell what policies are attached to it, even outside the TF code (in the cloud).
- When an RDS database is defined without specific VPC information, we can calculate what the default VPC looks like (if there is one), what its default security group and whether that will cause a problem.
And a bunch more examples... Basically Cloudrail was built to be used in the CI pipeline from day one, so it's meant to be very dev/devops friendly.
As a token of appreciation for this amazing subreddit, we will be giving access to Cloudrail for free until the end of June to any member of this subreddit. Just DM me for access after you've signed up to Cloudrail. (after June, it will be 30-evaluations/month for free, though that is also expanded to unlimited if you're part of an open source project)
Is it possible to calculate what percentage of the Library contains actual communicable information?
I love Noam Chomsky, which is why I am a member of this sub. But there is too much noise and sensationalism on Reddit, Youtube, and other places. So I made a feed where you can get alerts every time Chomsky comes out with something (podcast, video, article) that's posted anywhere on the internet. You can also follow most of his guests on Cicero.
We just launched so let us know what you think!
I love Andrew Huberman and follow him on Twitter, Instagram and on here. But there is too much noise and sensationalism. So I made a feed where you can get alerts every time Huberman comes out with something (podcast, video, article) that's posted anywhere on the internet. You can also follow most of his guests on there.
I love Andrew Huberman and follow him on Twitter, Instagram and on here. But there is too much noise and sensationalism. So I made a feed where you can get alerts every time Huberman comes out with something (podcast, video, article) that's posted anywhere on the internet. You can also follow most of his guests on there.
I love Lex Fridman, which is why I came on this Subreddit. But there is too much noise and sensationalism on Reddit. So I made a feed where you can get alerts every time Lex comes out with something (podcast, video, article) that's posted anywhere on the internet. I also have most of his guests on there.
