Count is a machine learning company looking to quantify the organic data inside photos, video, and sound. Anybody that has lived in Manhattan understands the dynamics of the Shake Shack line in Madison Square Park. We thought it would be fun to practice our craft quantifying the Shake Shack line in real-time as our first experiment.
Automatically track machine learning code and experiments
Comet.ml allows machine learning teams to automatically track their machine learning code, experiments, hyperparameters and results. It works from every computer, whether it’s your laptop or a your favorite cloud provider.
Machine Learning Playground
Breathtaking visuals for learning ML techniques.
A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization.
Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today.
Feedback is welcome!