Probably the most quintessential blog post every computer scientist has to make.
Well now that we got that behind us, I’m happy to share some of my thoughts and learnings over the last couple of years here. Topics will reach from my research, teaching, to my development setup for machine learning/ deep learning as well as things concerned with entrepreneurship and innovation.
The first couple of posts will mostly be concerned with my development and machine learning setup and focus on the not so glorious side of machine learning. Meaning, data preprocessing, text processing on the shell and just “hacking” your way through the data before you’re actually ready to train a model let alone deploy it. I think this part is vastly underrepresented in the literature as well as the skills needed to be able to efficiently work in ML and related fields.
Hope to see you soon!