Stream Processing

Random Picks

• Baiting: Baiting is a technique used in data science to manipulate or influence the behavior of a machine learning model by introducing biased or misleading data into the training dataset. This can be done intentionally to achieve a desired outcome, ... Read More >>
• Eigenvalues: Eigenvalues are a fundamental concept in linear algebra and are used extensively in data science and machine learning. In simple terms, eigenvalues are the values that represent how a linear transformation changes a vector. They are the sol ... Read More >>
• Stochastic Algorithms: Stochastic algorithms are a class of algorithms that use random variables to solve optimization problems. These algorithms are particularly useful when the objective function is complex and difficult to optimize using deterministic methods. ... Read More >>