Taking the confusion out of classification metrics. Photo by Daniele Levis Pelusi on Unsplash “The definition of genius is taking the complex and making it simple.”― Albert Einstein ROC and AUC curves are important evaluation metrics for calculating the performance of any classification model. These definitions and jargons are pretty common in the Machine learning community and … Continue reading Understanding the ROC and AUC metrics.
My notes from the book ‘Make your own Neural Network’ by Tariq Rashid. “Take inspiration from all the small things around you.”- Tariq Rashid There are some tasks which are very simple for computers but hard for humans, like multiplying millions and trillions of numbers, i.e. repetitive tasks. On the other hand, humans outperform computers fairly … Continue reading Demystifying Neural Networks: A Mathematical Approach (Part 1)