The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

The field of machine learning includes the development and application of computer algorithms that improve with experience. Machine learning methods can be divided into supervised, semi-supervised and ...