How much math do I need to be in the top 0...

Sorry brainlet but all of those ironic projects unironically require math past the undergraduate level.

what kind of math do I need for them?

can u help me with some non meme answer?

You don't need much math for ML. Just some basic statistics.

>0.0000000001%
uh user you need to check your fucking math, you're referring to a number of people which exceeds the entirety of the world's population. to be in that percentile, you'd need to be literally the greatest mathematician on the planet. Protip: you never will.

So drop a couple zeroes, moron. I mean I don't think you can realistically expect to be the world's greatest mathematician if you're asking this question, or even top 10 worldwide, or top 100, or top 1000, or top 10,000, or top 100,000, or top 1,000,000, or top 10,000,000. Given the fact that you are asking this question, I find it difficult to believe you would ever be in the top 100 million even. I'd say, with your maximal effort, you could be in the top billion, but that's as far as I'd wager you can go.

Now you're not referring to the world's population, but an even smaller population of "computer scientists and software engineers globally." Let's give a massive overestimate and say there are 10 million "computer scientists and software engineers." To reach that percentile, you'd have to be the single greatest "computer scientist or software engineer" who ever lived, and be able to to be so good that you would be renowned as such for tens of thousands of years.

Just fucking keep going to your fucktard-tier pre algebra class until you finish the "Percent" chapter and worry about how much math you'll need to be a computer scientist or software engineer at all.

I want also a basic 3D graphics engine that uses psx graphics rendering techniques for my retro games and I also need some signal audio processing to make a MIDI and basic DAW.

anything ai/machine learning/using tensorflow related requires knowledge of probability theory, statistics, and stochastic processes.

anything related to generating/transforming images will require signal analysis and linear algebra transformations.

>be 23
>suddenly interested in math, higher programming
>realize I should've started learning 10+ years ago
>tfw you'll only ever make 6 figures

>be me
>start programming in 8th grade
>go to university for computer science
>first math class has a 13 year old triple majoring math, physics, and computer science.

It wouldn't have mattered user

phd at minimum

there are a lot of people who have dual degrees in math and compsci

is he asian

Really you have to have neurotic Jewish parents who teach you calculus and advanced programming via lullabies at age 4.

Just imagine graduating college at 16 and being a super genius in the prime of your life, learning advanced math when the brain is the most flexible and retains information best.

I wish I could've had that life.

white

statistically speaking prodigies have a high chance of offing themselves before contributing anything meaningful to their field.

instead be like Weierstrass that dropped out of college then went back for a phd in his late 20s and will be known forever as the father of modern mathematical analysis.

>How much math do I need to be
all the math

I'm 28 and I really badly want to study mathematics and physics. I've been studying them lazily for the last 5 years, but I'm starting to teach myself calculus. I have a job that I could put all my money toward university.
I have crippling mental health issues and live in a shitty household.
Advice?

Attached: kms.png (496x522, 364K)

well im 26 and dropped out of uni as a junior a few years ago because of crippling mental health issues so im probably not the best person to ask. That being said don't start taking classes unless you are certain that your mental health can take it because I ended up wasting thousands of dollars having to do medical withdrawals my last 2 semesters. Address mental health issues and with a healthy mind and motivation you will do fine but will have to stop being lazy.

I feel like I'm on the course of a young prodigy except I failed to start early enough so now I'm burning out and am now a mentally ill loser with little motivation for life. I am depressed and have no enthusiasm and have to force myself to go forward, my vigor and passion is basically gone. It comes back briefly time to time.

I wish I didn't have to spend so much time in HS being bullied and tortured and could've spent all my time devoted to learning which I did when I got home.

Eh

this sounded pessimistic because i left the part off where I am doing better now, picking up where I left off in my education and working on programming projects, and preparing to return to university this fall to finally finish up my degree. wish me luck anons

All of those were required for my Bachelor's in Computer Science.

i understand that mindset but the "i could have done better if i started earlier" argument always applies (making it redundant) and is only really meaningful if you believe that everyone has pre-defined ceilings for achievement which I don't believe is true. Many incredible computer scientists/mathematicians/etc started late in life with no previous knowledge in the topic and I forget his name but there is a NASA engineer that was a drop out drug addict before he got his shit together.

you took babby versions.

Your linear algebra class probably only covered basic decompositions and simple linear transformations, not things such as affine transformations and formal vector space related proofs.

your statistics classes most likely only covered simple distributions (poisson, normal, binomial) and nothing about measure theory.

I actually had crippling mind issues too throughout college and almost had to withdraw my final two years because of panic disorder. Instead I barely slid through with poor grades and a useless major. What are you doing now? Because I've been at my parents' house since I graduated a few months ago, unable to land a job. And I'm starting to realize, with all the applicants for literally every single job, it's actually possible to just not get a job and I'm freaking out.

Find a job outside your field. Keep looking inside your field. Non-profit companies are always desperate for work.

I live at home. I worked retail in the (legal here) cannabis industry for the last 2 years. Now I am preparing for technical interviews and working on projects to get a junior dev position.

>0.0000000001% global percent of computer scientists
That's Donald Knuth. So a lot

I can tell you're a brainlett by the amount of faggy buzz words you use. Just give up and try accounting.

My brother just got a job as a machine learning software engineer. He studied French in college. How babby-tier must ML be?

easy if you use a wrapper like ML .net

probably no less than 300

37

All of it, best. Else the possible rankings won't even agree.

Why is it Knuth? The guy is certainly good, but TeX is hardly flawless or super visionary, and TAOCP isn't exactly all stuff even that guy can just do; it's an encyclopedia of sorts.

Attached: gj-front-full.jpg (1020x476, 185K)

About tree fiddy

Dude, your approach is wrong and I will tell you why:
The Assumption: there is a set of math knowledge that you have to learn and then be able to read all hot cs papers.
The Fail: CS is really specialized nowadays and needs different area of math. It would be fucking stupid to learn two years of calculus and then not needing it because you end up liking areas that only depend on discrete math. (Such as my area, I do software verification).
The Catch: Learning sth. for learning sake is a good thing. It might not advance your goals tho.
The Solution: Either know exactly what area of cs you want to read papers of or at least get a feel for it. If you are a beginner, there are plenty of overviews. Be clear about your goals. If you know what you want, pick a paper. Try to read it. If you don't know a concept, look it up. That is how you gain relevant knowlege and read and maybe some day write many papers instead of wasting years and emotions on sth. you might never need (for reading the papers you wanna read).

t.Grad fag about to PhD. that is also lazy as fuck but efficient as a result. Academia and industry loves this.

not really how much math but you need to have access to the right contacts and networking to be able to get there.

you either are or you arent.