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:
It all depends on your definition(s) of sentience, sapience, and consciousnessRead
Short piece on using GPT-3 to reconstruct behaviors of one of DeepMind's new modelsRead
Just in time for April Fools Day: How to make NFT artwork for definitely-not-money-laundering (no artistic talent required).Read