Looking at ways to measure and visualize fairness — (In)Equality In Machine Learning A s the field of machine learning expands and the power of AI is being used to make crucial decisions, we start to wonder if machine learning algorithms are really “fair.” Machine Learning algorithms are affecting decisions where discrimination and bias are present; our goal is to measure the outcome…

Tips and essentials to for boosting your model performance in multi-label classification — What is Multi-Label Classification? As we all may know, binary classification classifies the given input into two classes, 1 or 0. Multi-label, or multitarget classification simultaneously predicts multiple binary targets at once from the given input. …

From Siamese network and Triplet Loss to ArcFace Loss — What is Similarity Learning? A Neural Network can be trained to classify images or predict the prices of certain products, namely classification, and regression. These two methods are commonly used not only in deep learning but across machine learning in general. …