Discussion on Science Technology Engineering and Mathematics, please post interesting articles, things you are learning in school, or other general STEM related discussion!

Simply this expression and you get a gold star. (A & ~B) | (A & B) = ?

@Deleted User A

Heh, /sci/ memes welcome

Hey, if you copy and paste equations into the Windows calculator accessory, it will solve them for you. The only symbol that it does not recognize is ^. Do you know of another way to enter that symbol on the Windows calculator? I am trying to copy and paste an amortization formula, but it won't work because it uses the ^ symbol.

@Rick That's tough, it may not take it. Have you tried Wolfram Alpha? https://www.wolframalpha.com/

Thanks! That worked!

Great! Yeah it's a nifty tool, my first go to for almost any equation. Sometimes it gives you cool extra info too like graphs

I'm a geologist if anyone needs earth science help.

*You are on the path to understanding*

Henlo goys, if anyone is interested in civil engineering and heavy civil construction, I can answer any questions you have

I'm a computer programmer, work mostly with Ruby doing web services

IF anyone else is in the biotech field let me know. I also may be able to help if there are any questions regarding the subject

@Sean can you inject me with CRISPRs that will reverse my age by 15 years?

https://www.youtube.com/watch?v=IrXHsg_d1Hw

@ThisIsChris Is that a stat class you are taking?

@FivePointPalm It's incredible to me that Gattaca isn't Identitarian required watching

@Deleted User It's from "Pattern Recognition and Machine Learning" by Timothy Bishop. I was just glancing through it while waiting through the train. For my job (datascientist) I like to have at least a high level acquaintance with these things in case they come up.

Gattaca is about an untermench kike selfishly subverting the social order to gain privileges he doesn't deserve.

It's a beautiful story about self sacrifice and the struggle of humanity for greatness

Study the STEMs so you wont catch the poors

I want to start picking up some IT certs to make a career change. Any advice on where to start learning what I need for CompTIA A+? Any good free resources, or should I just pick up a book from Amazon?

I would say just get started. Setup an old PC as a Windows Domain Controller or something like that. I don't know much about IT or Windows but I got into web development by just doing it, picking up languages and technologies at home as a hobby and then at work as needed.

@Deleted User Look up Professor Messer on YouTube

https://youtu.be/SlzwMKcCoMI?list=PLQryb-FUreLBsGjFDmMZfmaCa-0XV-geq

I suggest getting the a+ and then applying for Help Desk jobs. You can then chat with the Network, Security, System Admin, and Development teams to see what direction you want to go.

@Deleted User

Thanks!

Am I a Neanderthal or a homo sapien? What is a black person?

Homo erectus

just noticed this. I have a degree in physics, minor in math, so I can answer questions about that. I don't always check this, so feel free to tag me.

If gravity affects time as well as space, and the Big Bang is the mother of all gravitational events, is it true that there may be some places in the universe that the Big Bang, which to us happened 13 billions years ago, actually just happened an instant ago?

@Joe-MN

Don't know a lot about general relativity to be honest. That's a good question. I don't think the big bang itself would be a factor, but if something has been moving relative to us for a long time and then slowed down to catch up with us, it would be younger. Likewise if an object spent a lot of time in a high gravity environment, it would be younger. Also since it takes a finite amount of time for light to travel, when we look at galaxies very far away, we're looking back in time.

The weird thing is that the galaxy can expand faster than the SOL which is hard to wrap my head around but definitely goes to the temperaneousness of the Big Bang for certain places in the universe.

I had not heard that one.

I am a layman, so I will defer to the experts. But my understanding is that only physical objects are bound by relativity and SOL rules. The universe itself is not physical so the SOL rules don't apply and I have read in multiple places that the universe does/did expand faster. How that jives with time and space is something cool to think about.

Sure is!

The concept makes sense - spacetime itself not having mass and therefore not being bound by the same rules as things that have mass

Light has no mass though. A lot of theoretical physics seems to be a group of lazy (((people))) that made up ideas to make their equations work

Well, as I understand it, the modern view of light isn't so much that its a particle/wave as it is something that exists in spacetime itself. Kind of like the color of my shower curtain. I shake the shower curtain and the color ripples.

But there's no, err, shooting, of a separate particle, like a canon.

If you want to watch a show that will blow your minds, check out Through The Wormhole With Morgan Freeman (I know, but he is just the narrator). The show is a science doc that focuses on these questions and interviews top scientists from around the world.

It primarily focuses on the convergence of physics and philosophy.

I like Morgan Freeman.

I also like deGrasse Tyson.

I am not a fan of Tyson so much...a lot of his opinions rub me the wrong way, but that is just personal preference. He is definitely a smart guy

He teaches a pretty good lecture series on The Great Courses about explaining mysteries of the universe.

One cool thing he points out about relativity is that time stands still for photons since they travel at light speed which (if you believe it) means that a photon traveling across say 30 million light years of space does so in an instant.

He also understands that we don't really know anything about the universe.

If you ever want to blow your mind, look up some of the experiments in Retrocausality. Scientists claim they have proven that a future event triggered the present event (past from the future event's perspective) on the quantum level

And replicated the event in the lab and published complete with peer review

Not only does that photon not experience any passage of time -- space (space-time, ya know.) contraction occurs as well. So from the perspective of that photon it hasn't moved through space at all. It's merely emitted and absorbed instantaneously within a tiny portion of spacetime. Pretty cool stuff.

@Darth I think I heard about that! They had set up a transmitter and a receiver and thought they were close to the receiver receiving the transmission before it was sent.

Oh, I forgot about this since I have the whole server muted. So yes, relativity just says that objects moving through space can't go faster than light, space itself expanding isn't really covered by that, since it's not moving through anything. I haven't really studied GR so I don't know all about that though.

"Well, as I understand it, the modern view of light isn't so much that its a particle/wave as it is something that exists in spacetime itself."
Modern physics doesn't need to make a hard distinction between 'objects' and light, the same set of equations governs them. They both exist in spacetime, it's where everything exists, and they both have wave particle duality. Electrons have wave properties too, if you send them though a narrow opening, they behave in a way that a pure particle never could.

is there any way to get notifications from just one channel but not the others in a server?

I think you can mute channels.

@Joe-MN ^

https://discord.gg/ThkG7e New discord dedicated to sci + tech (and culture) with an emphasis on futurology and emerging tech (note: this server is not identitarian exclusive)

^ To be clear, this is not a replacement of this channel or server

Anyone into machine learning, deep learning, etc? @here

What’s that?

AI, I think.

@Why Tea I do some at work and did some for my degree

Do you ? @Why Tea

Cool. I've been reading some on coding it. My employer (big big company) is a huge player in it, but I'm not involved in it at all at work.

http://neuralnetworksanddeeplearning.com/chap1.html

Is this a good place to start (sure looks like it) and what other resources do you think are worth looking at?

@Deleted User Yes, one way / model of dealing with AI.

@Why Tea what resource to use and what to focus on depends a lot on what you're actually working on.

Are you doing some sort of image or signal processing? If so then yes Neural Networks sounds good and that site is a good start.

But Neural Networks aren't useful for every problem (though some academics are trying to push the idea that they are) so step one I would ask are you absolutely sure they are necessary for your work.

You can tell what machine learning things to focus on by laying out what type of inputs and outputs you are doing. The dimensions your data can fit are usually sequential vs non-sequential (i.e. a sentence is a sequence of words, an image is just a single vector of numbers) and categorical/symbolic vs cardinal vs ordinal.

Right, right. Thanks. But I'm not working on anything *specific* yet, as I'm trying to learn.

Of course one of the best ways to learn is to pick a thing you'd like to do, and try to solve the problem, but I'm not there yet.

@Why Tea in that case the best and most useful I've used and recommend is this one https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/

Excellent, thanks!

I love the MIT courses that are available.

MIT open courseware on Artificial Intelligence

You're welcome, yeah they are great

I’ve also heard good things about the Coursera online courses for this.

I took a Coursera course in Data Analytics learning R and they did a better job than Texas A&M’s graduate class on the same topic (I took both).

Yeah Coursera's first course was a pretty good Machine Learning Course by Andrew Ng, but last year they changed the format of the Coursera website SO MUCH that I now find it virtually unusable. That's partly by design, they give very little away for free anymore and they tightly restrict when materials are available.

So just pay for it.

That probably works for some people, but ever since after I finished school I usually study a subject in spurts in a way that doesn't fit well with Coursera's pricing model. I say this as someone who has paid for their courses and generally didn't get my money's worth before they expired.

The best experience I had with a paid Coursera course was when I was doing a programming course with other people. I feel like that model works best for Coursera because that's closest to the classroom model they are going for

When I study on my own though, I like to dive deep into something in a few goes when all of a sudden a few spare hours open up. Coursera is not conducive to this though. Courses start periodically so if it doesn't happen to be the first week of their course then you are SOL. And then the longer courses they have roll out the course material one week at a time, preventing a dive in.

That's why I like to just have all the course materials available at once, all the time. I don't think Coursera has that model for any of the courses I was interested in though.

I do some machine learning light for work and have a masters in data science from Berkeley

I can answer basic questions

@Why Tea

It's a lot of hype concealing a clever compilation of basic techniques but a very powerful concept once understood.

It's most useful applications involve large datasets. Currently there are innumerable opportunities for application. The limiting factor is usually expertise and leadership buy in.

Even still one of the most widely applied machine learning techniques is linear regression.

This fact reveals the simplicity at the core of the concept.

Its a beautiful simplicity though and there is a growing library of well documented algorithms for various applications. Even still > 80% of the work is just wrangling the data and pre processing.

If you want to learn check out kaggle.com look at winning solutions for problems that interest you.

For coding I recommend "anacondas" python distribution.

Comes with lots of machine learning and data wrangling libraries pre installed.

Getting involved in a datakind.org project is another good way to learn.