If you're in ML, chances are you completed the @AndrewYNg ML specialization.
But what if we told you there's an incredible resource to help you refresh your knowledge? Or even pass the course from scratch?
Notes and implementations of algorithms https://t.co/rHch90zKWc
PhD students should try to organize at least 1 workshop before they graduate.
➡️ Best opportunity to mark+catalyze your research subfield
➡️ Best way to build academic network
➡️Best opportunity to closely interact with senior members
➡️Teaches skills school/publications doesn't
If you're considering a PhD in Electronics and want to study in a top 10 UK Electronic and Electrical Engineering department in a World Top 100 University then this is for you. We have EPSRC Doctoral Training Partnerships Scholarships on offer 👉 https://t.co/vlc9AnVmFW
Some of the most amazing applications of machine learning will probably come from folks working on brain-computer interface (BCI).
Check out this new paper discussing high-performance brain-to-text communication via handwriting.
Future of programming?
https://t.co/I5DUnE4vpy