Contrary to popular belief, you don't need a machine learning Ph.D. to learn modern AI techniques like deep learning. Rachel Thomas of Fast.ai reveals how.
I am looking for good PhD students most of the time. The most important prerequisite to be successful in machine learning is a strong mathematical background. If you are interested, please do not apply to me directly, as all applications are centralized through the department.
We are looking for a highly motivated prospective PhD student to undergo a 3-year fully-funded PhD position in the area of machine learning and deep learning theory and applications. Details Simulation and optimisation of a spacecraft propulsion system based on a Field Reversed Configuration plasmoid using deep learning and machine learning algorithms.
I will do my PhD on Big Data. I need to write a research proposal in Big Data. Researchers, Please suggest me some titles in Big Data, Data Mining, Machine learning.
Applications are invited for a full PhD Scholarship starting April 2020 (or as soon as possible thereafter) to undertake research in the area of Machine learning and IoT in the context of Smart Cities.
Definitely possible. Some of the top machine learning researchers have a background on physics. Some even say that a background in physics prepare you more for machine learning, than a background in CS (because of the better math background and because a lot of physics is all about patterns).
Recently, I find myself intrigued by machine learning and would like to do a PhD in machine learning after I finish my Masters in theoretical physics. I am rather afraid to break it to my supervisor that I plan to move into machine learning after my Masters.
Please do not ask. If you do then at best your email will be ignored and at worst I reserve the right to get quite cross. I aim at present to take on approximately two PhD students per year to study for the PhD degree in some area of machine learning of interest to me.