Quadratic voting is a voting system that allows individuals to express the intensity of their preferences by using multiple votes on a single issue. This is based on the view...
CNN also known as Convolutional Neural Network or ConvNet, is a supervised deep neural network used in deep learning. Humans can see the environment, and they can identify and distinguish...
Machine learning is a field of computer science, engineering, and medicine that uses data to make informed decisions. However, machine learning is a field with many challenges. Anomaly detection is...
A dot product, also known as a scalar product or inner product, is a mathematical operation that takes two vectors and returns a scalar. The dot product is calculated by...
Transfer learning is a way to use a machine learning model that has already been trained to do one task and apply that knowledge to a new, related task. This...
Training a supervised machine learning model often requires a large amount of labeled data to achieve good results. However, it can be difficult for companies to provide data scientists with...
Clustering is a technique used in data analysis and machine learning to group similar data points together into "clusters." The goal of clustering is to find patterns in data and...
A data science engineer is a professional who works on developing and maintaining systems. They help the organizations to store, process and analyze large amounts of data. They typically have...
When working on classification problems in machine learning, dealing with imbalanced data is a common hurdle. This imbalance happens when one group in your data vastly outnumbers the others, making...