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:
Similar tags include Neural Networks, Computer Vision, and Random Forests.
Happy Reading!
Deep Computer Vision to protect the Ocean and feed humanity sustainably
ReadEnhancing underwater imagery using GANs
ReadKeras 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 Classifier
ReadA brief introduction to the history of Machine Learning.
ReadA one stop shop to learning eveything you need to know about Deep Learning.
View Series