The course covers information measures, the source and the channel coding theorems, statistical inference, and learning with neural networks. In particular, the course explores a common set of models ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be difficult to address. A specific application is Poisson... Save my User ID ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...