One of the main impacts of learning theory is on engineering. Systems that learn from examples to perform a specific task have many applications 6. For instance, a system may be needed to recognize ...

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 ...

Social learning theory is really a combination of two other kinds of learning theories. On the one hand, there is the cognitive learning theory, which states that the learning of an individual is ...

The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and even ...

French mathematician and astronomer, Pierre-Simon Laplace brought forth the first major treatise on probability that combined calculus and probability theory in 1812. A single roll of the dice can be ...