almost every topic in CS, honestly
if I look at my grades, TCS. And I'm learning some computer graphics basics in my free time right now
computer graphics is looking fun right now
I think AI has more opportunities though and my city is an internationnaly known hub for machine learning research
What do you find enjoyable, like, you could lose a complete day upon without realizing the passage of time.
I personally never look at grades, it doesn't say anything about a person's creativity or research-potential. Typically because most people which are like this, - really - hate to write formal reports which is what most academic personnel cares about.
If you only do it for the money, believe me, you will be depressed. Because the industry (especially Deloitte etc) are filled with retards which apply the techniques incorrectly. Also, consider that the acceptance rate into Google Brain, DeepMind, MAI and TAI will be quite challenging, unless you are a female or PoC (not kidding, I even know of workshops at NeurIPS which reject high-quality papers to diversify the pool, but that is a different story).
Outside of the major you are considering, is there something you would like to achieve? Some kind of greater goal, or wanting to work in a certain environment with a certain goal in mind?
if I forget about money or grades then computer graphics sounds like what I would study more.
There's so many unsolved problems in computer graphics, if I could find a way to solve one of them that would be great, but to reasearch new ways to simulate things I think a ph.d is needed. Otherwise, I don't have huge ambitions, if I can manage to work on an interesting project in a good company, I would be happy. However in order to do that, I would need to be in a good position to do meaningful work. And like you said, some interesting companies/labs have a very low acceptance rate so I really need to git gud. (I'm a straight, white privileged male)
Thanks for the tips, user. Here's a nice rat for you.
Just one last recommendation. git gud at statistics and make yourself comfortable with the notation. For instance, Combine it with your simulation setting, since you are interested in graphics. Say, you have a stochastic complex simulation y ~ f(x) and now you want a distribution over x given y p(x | y), how would you do that. Train yourself on projects like this!
All companies and institutes are basically formalizing actual problems in some probabilistic framework. That's why you see frameworks like Pyro etc.
Good luck.
Speaking of statistics let me disprove my 1.5 billion pajeets statement earlier.
Let's assume the average IQ of programmers needs to be 115 with SD 15, I'm guessing at this because I couldn't find a site listing SD with their claims about programmer IQ.
India has about 20 million of these, putting it at 4th in the world.
So no there isn't really a giant flood of high quality pajeets. However, China is just ridiculous. At >=130 China has 73mil people Japan, in second place, has 6.5mil.
Probably the best field will be of moderate difficulty. Anything super high level will be chink central and anything low level will be pajeet central.
I have a gutfeeling it is less. Where exactly did you find the information regarding the IQ distribution of India (assuming Gaussian?).
You can't just assume equal IQ distribution across different countries with vastly different living standards and levels of education.
You think there's more smart Indians than average Indians?
fucking lmao India the place where everyone is above average
That's why I said "assuming Gaussian" faggit.
if chinks are so smart, why are the white boys still dominating tech?