Processes

Random Picks

• Adversarial Attacks: Adversarial attacks refer to the deliberate manipulation of input data to machine learning models in order to cause the model to misclassify or produce an incorrect output. These attacks can be carried out by adding imperceptible perturbati ... Read More >>
• Iterative Experimentation: Iterative Experimentation is a process of continuously testing and refining a hypothesis or model through multiple iterations. In Data Science, it involves the use of statistical methods and machine learning algorithms to analyze data and g ... Read More >>
• Binary Classification: Binary classification is a supervised learning technique in which the goal is to predict a binary outcome (1 or 0, true or false, positive or negative) based on a set of input features. The algorithm learns from a labeled dataset, where eac ... Read More >>