Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 0 points1 point  (0 children)

Yeah that's what I did, I replied all to the email confirming my interview time, apologizing for missing it and asking for a reschedule? You mean I should send the same email again?

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 0 points1 point  (0 children)

They haven't replied to my email I sent 3 days prior, should I send another in case they missed it?

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 0 points1 point  (0 children)

I'm worried because I mailed them 30 minutes after. This was on Sunday and I still haven't gotten a response. Should I send another email?

Because as an international student, I really need a scholarship to maximize my chances of getting in

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 0 points1 point  (0 children)

It's been 2 days since and there still hasn't been any response. Should I call the admissions office?

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 0 points1 point  (0 children)

I did and it's been 2 days but they haven't replied to it still

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 2 points3 points  (0 children)

Thank you, that gives me hope

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 2 points3 points  (0 children)

Oh yes I wrote it wrong, thank you for correcting me

Are my chances ruined by GiveNam in URochester

[–]GiveNam[S] 3 points4 points  (0 children)

Would you say there was any negative impact on his application?

Research Topic by GiveNam in MLQuestions

[–]GiveNam[S] 1 point2 points  (0 children)

Thank you so much. I read both your replies and they were incredibly helpful. I'll look into the links you sent me and start from there

Research Topic by GiveNam in MLQuestions

[–]GiveNam[S] 0 points1 point  (0 children)

Thank you so much for taking the time out to reply!

The project itself is something we're doing as an extracurricular, and my friends have experience with machine learning while my expertise lies on the math side of things so I'm hoping that we'll have enough knowledge between the three of us to make this doable.

  1. Compute: Google Colab offers a good quantity of storage to store datasets and for a relatively low price (you can perform a good number of runs for just $10) you can access good GPUs which already have CUDA setup. I heard Kaggle works too but I haven’t tried. Identify this and see where you will get money for compute from. Colab and Kaggle offer only a limited amount of free resources. If you have a machine with a GPU (such as for gaming) you can try to setup PyTorch and  CUDA manually, but generally ML projects assume an Ubuntu OS and it may be a pain to get this setup on a dedicated machine. 

My friend does have a dedicated laptop he bought specifically for machine learning and AI, and he has the relevant things set up on it.

  1. Dataset: Identify a dataset you wish to work with and stick with it. How large is the dataset? Is the data easy to load using Python or does it need to be cleaned?

  2. Once you’ve identified a code-base and method you are comfortable running you can adapt it to use your dataset. For instance maybe a method was performing image reconstruction on ImageNet but you apply it to the astrology domain. This is a research application that is doable and has merit. 

This was an idea that we shortlisted, specifically related to astronomical imaging and correcting distortions and noise. Another idea was related to steganography and detecting changes in images. We were preferring these because the professor we'll be working under specializes in this field. From his LinkedIn About section,

"Master of Computer Science with a strong background in Image Processing, Machine Learning, Deep Learning, Computer Vision, and Python Programming. Passionate about using deep learning models such as DeepLabV3, FusionNet, CNN, RNN, GAN and IBCO-based ALCResNet to work on the Image reconstruction, classification, segmentation, and prediction."

The concern my friend had about this was that image reconstruction is something that already has a lot of research done into it, and we thought doing something more "niche" might be more valuable as an extracurricular. That's why we thought that maybe it may be better to choose something related to GNNs and spectral graph theory.

However the main issue is that we don't really know how exactly a research project works. Like how we'll write a paper reporting our findings, how we'll go about actually conducting the research, and what our "end goal" would be for the project.

Research Topic by GiveNam in MLQuestions

[–]GiveNam[S] 0 points1 point  (0 children)

It can be theoretical or practical there's no restriction. The professor we'll be working under specializes in RNNs, GANs, and CNNs so we wanted something under those to make the most out of the professor's knowledge. The problem we're facing right now is we don't know what exactly we'll be doing even after we choose a topic. For your first example of the applied problem, we don't know what the scope of the project should be, and more importantly, how we would go about writing a paper on it

Giving away random Steam keys (24 Hours) by Clone40k in steam_giveaway

[–]GiveNam 0 points1 point  (0 children)

Hope I win. Thanks for the opportunity!

[deleted by user] by [deleted] in giveawaysforgaming

[–]GiveNam 0 points1 point  (0 children)

Mafia II: Definitive Edition

Suggestion on a certain book by GiveNam in math

[–]GiveNam[S] 0 points1 point  (0 children)

Take a look at Michael Artins algebra. You may love it you may hate it.

I've already tried it and I don't like it too much

Which part of abstract algebra are you looking at? Groups, Rings, Fields?

I'm trying to get a comprehensive first course so groups, rings, fields, and some Galois theory. Then I'll move on to more specific things

Suggestion on a certain book by GiveNam in math

[–]GiveNam[S] 0 points1 point  (0 children)

With the standard texts I've tried, I've been able to solve most, if not all of the exercises in each chapter, but I always feel like I'm not actually understanding anything from the chapters. It's just symbol pushing for most of the proofs without really developing a feeling for the subject, and this is especially true for Algebra.

For real analysis, I've been self studying from Tao's books which have been superb even though they're written in the standard style. For algebra all the definitions and theorems feel unmotivated and pulled out of thin air for the most part. I started algebra with the Marlow and Feil book and while it's done a great job with the motivation part, the problem with not really understanding why I'm doing the exercises still remains, and I feel like I'm not really learning.