Random Variables

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• Generative Adversarial Networks: Generative Adversarial Networks (GANs) are a type of deep learning model that consists of two neural networks: a generator and a discriminator. The generator network generates new data instances, while the discriminator network evaluates th ... Read More >>
• Brownian Motion: Brownian Motion is the random motion of particles suspended in a fluid (a liquid or a gas) resulting from their collision with the fast-moving molecules in the fluid. In Data Science, Brownian Motion is used as a mathematical model for vari ... Read More >>
• Large Datasets: Large Datasets refer to collections of data that are too big to be processed and analyzed using traditional data processing tools and techniques. These datasets are characterized by their volume, velocity, and variety, commonly known as the ... Read More >>