In a nutshell, Machine Learning is a way to give computers the powers of generalization. And that's what I try to do: put [seemingly complicated] things simply. My posts on Machine Learning (ML) focus mainly on recent cutting edge research, and how to make it accessible to everyone. I felt like many academic guides weren't accessible enough, so I strove to make my guides as clear and practically-focused as possible.
Unsure where to start? Here are some of my best / most popular posts:
Announcement for the work I did with the TFP Team at GoogleRead
A quick guide on how to start using Attention in your NLP modelsRead
Using algos from robotics and videogames to tackle the stock marketRead
Skills for making yourself actually stand outRead
Beginnings of how to start a career in Machine LearningRead