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!
Skills 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