Brain, Learning, Intelligence

Bayesian modeling provides an elegant approach to many data science and decision-making problems. However, it can be hard to make it work well in practice. In particular, although there are many software packages that make it easy to specify complex hierarchical models such as Stan, PyMC3, TensorFlow Probability (TFP), and Pyro, users still need additional tools to diagnose whether the results of their computations are correct or not. They may also need advice on what to do when things do go wrong.

Github Repository

www.bayesiancomputationbook.com

@BLI_Channel

www.tgoop.com/BLI_channel/82

685 viewsJan 21, 2022 at 08:34

Bayesian modeling provides an elegant approach to many data science and decision-making problems. However, it can be hard to make it work well in practice. In particular, although there are many software packages that make it easy to specify complex hierarchical models such as Stan, PyMC3, TensorFlow Probability (TFP), and Pyro, users still need additional tools to diagnose whether the results of their computations are correct or not. They may also need advice on what to do when things do go wrong.

Github Repository

www.bayesiancomputationbook.com

@BLI_Channel

BY Brain, Learning, Intelligence