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/sci/ - Science & Math

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>> No.9754432 [View]
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9754432

>>9754411
or y'know, actually find a nice company to work for and have meaningful contributions and collaboration
while GDPR will likely have nasty implications for data science, I think just about any big-enough company that has IT/web services as its core business can be a nice play to work as a data scientist/analyst, or even any company that makes data driven decisions
if what you said is the kind of work you do then that's obviously not a good place to work at

however!
>request is vague and not really possible
if the requester isn't a complete idiot they will be open to communication, on average they themselves don't really know what they want let alone need, and that's where you, as a capable engineer, come in, take them to the side and talk to them and together try to understand what it is that you're all trying to do and how to go about it
>analysis is ignored and managers go yolo
see previous point about good places to work; if that's really the case then you can half-ass your work and use that time to study other things that will land you a better job somewhere else

but again I think in these cases you only have the title of data scientist, not the profession; just like an account manager isn't an "actual" manager, just like tons of engineers aren't actual engineers; just like a devops engineer can't even fucking exist because devops isn't a job title, just like everyone saying they do agile doesn't mean they actually do agile
you can slap whatever label you want on whatever the fuck you want, don't undermine the people who actually do it just because it's misrepresented by fucktards

>> No.9746796 [View]
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9746796

thre

>> No.9702799 [View]
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9702799

>>9702793
Ok, I'll forget about reactivity series.
Thanks for answering my question.

>> No.9549448 [View]
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9549448

Why are engineers hated by everyone else on STEM?
I need serious answers.

>> No.9548729 [View]
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9548729

>>9548686
Pic related, it's me

>> No.9538305 [View]
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9538305

>have to pay between $50,000 - $100,000 in tuition fees to get a shiny piece of paper at the end of 3 - 4 years
>no guarantee you'll even get a good job after you graduate

Is university a ponzi scheme /sci/?

>> No.9518201 [View]
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9518201

>teaching is dog shit even in STEM subjects
>free online lectures are unironically better than anything taught in prescribed books or by professors
>most courses horrendously have a theoretical bias, with very limited real world applications
>no guarantee you'll even get a decent job after you graduate unless you're a normie with 1000 friends or president of the feminist society
>when most students don't get a job after graduation they apply for Masters and PhD degrees
>after that, they unironically go back into teaching at the very same establishments that filled them with false hope
>have to pay tens of thousands of $ to justify above

Well /sci/? Seems like unless you're a literal genius or lucky enough to make 300k starting straight after graduation, most people are stuck in an endless feedback loop that keep these parasitic establishments alive.

>> No.9477029 [View]
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9477029

>/sci/ is more inteligent as other boards

>> No.9417270 [View]
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9417270

>>9417246
You can be a chemist---as a business owner. You have to raise capital and do your studying on the side.

Sure, creating a startup is hard---but you won't cuck yourself to incompetent suits who care about literally nothing but profit, and have no real mind for innovation. That's just the reality of this economy we've inherited.

>> No.9385686 [View]
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9385686

>>9377683
at least you're not a pharmacist

>> No.9302684 [View]
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9302684

Have you ever felt like you're too dumb to be in your field?
I have this feeling every other day or so studying.

>> No.9291217 [View]
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9291217

>>9290442
wow that sounds like an excellent high quality poster! I can tell why he wants everyone to forget

>> No.9253877 [View]
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9253877

is this the UWaterloo question?

>> No.9249080 [View]
File: 168 KB, 727x682, graduetn.png [View same] [iqdb] [saucenao] [google] [report]
9249080

>Roko's posited solution to this quandary is to buy a lottery ticket, because you'll win in some quantum branch.

>> No.9099740 [View]
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9099740

>>9099734
>how does /sci/ respond?
There's nothing I can respond with, my phenotype is in inferior.

>> No.9084691 [View]
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9084691

>>9083332
I have all the biologists run around doing experiments in the lab for me, I just record the data and do the real work making sense of the data :^)

only cucks work in laboratories

>> No.8998647 [View]
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8998647

>>8998616
8th

>> No.8963347 [View]
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8963347

>>8963338
Are we all cucks ?

>> No.8908875 [View]
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8908875

do not produce deep industry related domain knowledge. Instead they produce students that are not qualified for any job in the workforce.

Great, you studied Algebraic Topology but you lack the probability/statistics and coding knowledge to become a data scientist. You don't know React,Angular, or anything remotely useful.

This means a 3-month bootcamp graduate is more qualified for a job than you are.

>> No.8834817 [View]
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8834817

Do I still have time to cram for 2 exams I have tomorrow (in 15hours exactly) or should I not go and pretend I was sick?

Exams are pure theory learning/memorization:
> 1 exam in plant physiology
For which I basically have 2 big chapters left to learn: 1 in plant nutrition, 1 in plant growth
> 1 multiple choice test in Geographic information systems theory
Which covers the material for the whole semester but I'm already somewhat familiar with it, just have to review it again

What do you think? Is it feasable?

>> No.8833542 [View]
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8833542

>>8833537
orweeel sez iz fiv

>> No.8791053 [View]
File: 168 KB, 727x682, 1488402414942.png [View same] [iqdb] [saucenao] [google] [report]
8791053

>tfw to smart to pretend to be brainlet pretending to be smart

>> No.8737329 [View]
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8737329

Tired of talking to undergraduates on this board.
Tired of the IQ threads.
Tired of the brainlet threads.
Tired of the HYSP threads.

This thread is about research. What is your research topic in?

>> No.8725311 [View]
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8725311

There is an exam coming up this week.

The exams are notoriously difficult for this professor. Typically there are 2 midterms but professor reduced the exams to 1 and covered more material than normal.

He has 6 prior midterms posted, 3 midterm 1 and 3 midterm 2. He said our midterm will be a bit of both midterms 1 and midterms 2 from previous semesters.

I have been taking each exam as if it were the real deal and then grading myself against his rubric. After this I been analyzing every problem I missed and in some cases wait a while and reworked each problem I missed and checked against the answer again. if I missed anything again I'd make the minor corrections and analyze why I missed what I did, and reattack it a day or two later, each time learning more and more about certain tricks/seeing new patterns. After being able to do all the problems on said exam to near perfection I moved on to the next exam.

But what has discouraged me about this approach is I am seeing a lot of post online where students are simply looking at the answer to a problem and asking why the answer is what it is. They are doing it so frequently it looks like they aren't even taking the exams but looking at the problem, the solution and doing 'mental checks' that they could have came up with the solution and move to the next problem.

Is my approach good, or should I just look at the solutions to all the exam problems and memorize?

My approach is slow. I took 2 exams out of 6. The test is in 4 days (thursday).

With the approach my clasmates are taking I could look at all 6 exams in a day since I'd just be looking at solutions.

BUT I feel like these problems are so tricky you could easily fool yourself into thinking you know how to do the problem since you 'see' the tricks in the solution without thought, then bomb the real exam.



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