Generative Models

Random Picks

• Contingency Planning: Contingency planning is the process of creating a plan to prepare for unexpected events or situations that may disrupt normal business operations. In data science and artificial intelligence, contingency planning involves identifying potent ... Read More >>
• Stochastic Gradient Descent: Stochastic Gradient Descent (SGD) is an iterative optimization algorithm used to minimize the cost function in machine learning and deep learning models. It is a variant of gradient descent algorithm that updates the model parameters using ... Read More >>
• Bayesian Inference: Bayesian Inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as more evidence or data becomes available. It involves the use of prior knowledge or beliefs about the hypothesis and the likelih ... Read More >>