What PhD students should do?

5 Things New PhD Students Should Know

• You’re going to get lonely. Loneliness and PhDs go hand in hand.
• It’ll be the hardest thing you’ve ever done. It’s no surprise that PhDs are hard.
• You’ll need to reach out for support.
• You’ll be surrounded by people much smarter than you.
• You’ll end up marrying your thesis.

How many books is a PhD?

And so on. I fully acknowledge that the correct answer to many of these foundational research questions is a version of ‘it depends’. To give a definitive one-size-fits-all answer as to how much reading is expected or required for a doctorate would be far too reductionist and, taken literally, do more harm than good.

Why study machine learning and big data at UW?

The UW Department of Statistics now offers a PhD track in the area of Machine Learning and Big Data. All incoming and current students are eligible to apply. The goal of the PhD track is to prepare students to tackle large data analysis tasks with the most advanced tools in existence today, while building a strong methodological foundation.

Is there a PhD application for deep learning?

This blog post is mainly focused on PhD applications for deep learning and related fields like natural language processing, computer vision, reinforcement learning, and other sub-fields of deep learning.

Should I do something else before I do my PhD?

However, some of the best PhD students left academia for a bit before starting graduate school. Doing something else gives you a break from the academic world and can help you gain perspective. Students who decide that they want a PhD enough to return to academia are often extremely motivated and do very well.

What are the Statistics PhD requirements for MLBD?

All other statistics PhD requirements hold, except STAT 571 may be used in place of the consulting project course. STAT 583 is not required. A student in the MLBD track can, in addition, choose to enroll/satisfy the Advanced Data Science Option.