One reason for success is access to information. For example, knowing what a PhD in NLP is like, what top grad schools look for when reviewing PhD applications, and how careers in NLP in both academia and industry are like. This github repository has answers on many such questions. Thanks to Zhijing Jin for putting this together.
I maintain a telegram channel for phd+research job postings. The ads come from professorsâ tweets. To use this job posting service, contact the recruiter with a personalized email.
If youâre an undergrad getting started with CS, you might feel stuck because youâre unfamiliar with the tools you need. Luckily, thereâs an MIT course that can help. You might also find this blog post useful.
There are communities that provide opportunities for ML research beyond university/industry research labs, e.g. reading groups. These can be helpful for learning about machine learning research and possibly a starting point for your first collaboration.
Syllabus for Ericâs PhD students, Eric Gilbert doc |
Ph.D. Applications: FAQ, Noah Smith doc |
A Survival Guide to a PhD, Andrej Karpathy html |
Machine Learning PhD Applications â Everything You Need to Know, Tim Dettmers html |
A Guide to Cold Emailing, Eugene Vinitsky html |
The Definitive âwhat do I ask/look forâ in a PhD Advisor Guide pdf |
Questions to Ask a Prospective Ph.D. Advisor on Visit Day, With Thorough and Forthright Explanations, CMU html |
PhD Syllabus, Mor Naaman html |
EVERY PHD IS DIFFERENT, Maxwell Forbes html |
Advice for prospective PhD students on deciding which program to join html |
How to Write a Bad Statement for a Computer Science Ph.D. Admissions Application, Andy Pavlo html |
How to write âstatements of purposeâ - Boaz Barak pdf |
Heuristics for Scientific Writing (a Machine Learning Perspective), Zachary Lipton html |
Planning paper writing, Devi Parikh html |
How to ML Paper - A brief Guide doc |
Notes on machine learning, part 1 pdf |
An Opinionated Guide to ML Research, John Schulman html |
How I Keep My Projects Organized, Sebastian Raschka html |
Research Taste Exercises, Colah html |
You and Your Research, Richard Hamming pdf |
An opinionated guide for CS undergrads (local universities) html |
āĻĢā§āĻ°ā§āĻļāĻžāĻ° āĻšāĻŋāĻļā§āĻŦā§ āĻ¸āĻĢāĻāĻā§ā§āĻ¯āĻžāĻ° āĻāĻā§āĻāĻŋāĻ¨āĻŋā§āĻžāĻ°āĻŋāĻ āĻāĻžāĻāĻ°āĻŋ āĻā§āĻāĻāĻžāĻā§āĻāĻāĻŋāĻ° āĻ āĻāĻŋāĻā§āĻāĻ¤āĻž, āĻā§āĻ¯āĻžāĻŽā§āĻĒāĻžāĻ¸ āĻā§āĻ¨āĻŋā§āĻ°āĻĻā§āĻ° āĻāĻ¨ā§āĻ¯ āĻŦā§āĻžāĻ¨ html |
āĻ¸āĻŋāĻ¨āĻā§āĻ¯āĻžāĻā§āĻ¸ āĻā§ āĻāĻŽā§āĻĒāĻŋāĻāĻŋāĻāĻŋāĻ āĻĒā§āĻ°ā§āĻā§āĻ°āĻžāĻŽāĻŋāĻ āĻāĻžāĻ°ā§āĻ¨āĻŋ html |
Dodging pitfalls in a software engineering career html |
7 reasons why you should not work in a startup html |
Navigate Through the Current AI Job Market: A Retrospect, Billy Ian html |
AI research: the unreasonably narrow path and how not to be miserable, Rosanne Liu [video] |