For many aspiring ML PhD students the application process is shrouded in mystery, feeling like a high stakes interview where you have no idea how you are evaluated.
When I applied to PhD programs in 2017, I had a million questions. How do I select a school? What’s the best way to find an advisor? Who is looking at my application? What are they looking for? How do I increase my chances of getting in?
After reading this post, you’ll be armed with the knowledge to answer all of these questions and more.