Thread by @adityakusupati, PSA(2) - prospective PhD applicants in CS.Right time to share the "One-stop" [...]

Aditya Kusupati

adityakusupati

PSA(2) - prospective PhD applicants in CS.

Right time to share the "One-stop" destination for all grad application related stuff; maintained by the amazing @kalpeshk2011 & will cover 99% of your bases/Qs.

https://martiansideofthemoon.github.io/2018/05/29/grad-resources.html

Overwhelming? I will highlight the unmissables

Grad School Resources

Previously, I wrote an article on GRE and TOEFL preparation. This is my second blogpost on graduate school admissions. I have tried to compile all the online resources I used to prepare my graduate...

https://martiansideofthemoon.github.io/2018/05/29/grad-resources.html

1. The famous blog by @Tim_Dettmers which I followed with diligence during my own applications. It is very honest into what things actually are http://timdettmers.com/2018/11/26/phd-applications/

Machine Learning PhD Applications — Everything You Need to Know — Tim Dettmers

This blog post explains how to proceed in your PhD applications from A to Z and how to get admitted to top school in deep learning and machine learning.

http://timdettmers.com/2018/11/26/phd-applications/

2. @vj_chidambaram has been writing about these things for a long while, first in quora and recently on twitter. This thread covers an SOP is. It is not your life story, but your research story. https://twitter.com/vj_chidambaram/status/933388419589459969

https://twitter.com/vj_chidambaram/status/933388419589459969

3. A great perspective and what they might be looking for from @dave_andersen

https://da-data.blogspot.com/2015/03/reflecting-on-cs-graduate-admissions.html

4. Lastly, the famous two parables I came across through @adith387 while I was doing my "exploration" of what PhD students might have to do.

https://www.cs.hmc.edu/~fleck/parable.html

You can follow @adityakusupati.

Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled: