Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

particularly in approximate Bayesian inference and/or probabilistic machine learning methods (e.g., MCMC, normalizing flows, variational inference, Bayesian deep learning, etc.). We also require ...

The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Doctoral or Postdoctoral Researcher in Probabilistic ... deep learning, etc.). We also require ...