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:
Similar tags include Tensorflow, GANs, and Private Machine Learning.
Enjoy!
Using algos from robotics and videogames to tackle the stock market
ReadSkills for making yourself actually stand out
ReadBeginnings of how to start a career in Machine Learning
ReadMaking ANNs that resemble actual neural networks in the brain
Read