Machine Learning is, put simply, getting computers to generalize from examples. And that's what I try to do: put [seemingly complicated] things simply. My posts on Machine Learning (ML) consist primarily of beginner-focused introductions to common ML models or concepts. I felt like too many ML tutorials weren't accessible enough, so I strove to make my guides as clear and beginner-friendly as possible.
Unsure where to start? Here are some of my best / most popular posts:
Deep Computer Vision to protect the Ocean and feed humanity sustainablyRead
Enhancing underwater imagery using GANsRead
Keras is an easy-to-use abstraction built on top of tensorflow. Let's use Keras to build our first "hello world" of Machine Learning - The Digit ClassifierRead
A brief introduction to the history of Machine Learning.Read
A one stop shop to learning eveything you need to know about Deep Learning.View Series