Randomized prior functions in PyTorch
Reading Time: 4 minutes I was experimenting with the approach described in “Randomized Prior Functions for Deep Reinforcement Learning” by Ian Osba...
Category: Machine Learning
PyData Montreal slides for the talk: PyTorch under the hood
Reading Time: 1 minute These are the slides of the talk I presented on PyData Montreal on Feb 25th. It was a pleasure to meet you all ! Thanks a lot to Maria a...
A sane introduction to maximum likelihood estimation (MLE) and maximum a posteriori (MAP)
Reading Time: 9 minutes It is frustrating to learn about principles such as maximum likelihood estimation (MLE), maximum a posteriori (MAP) and Bayesian infere...
Introducing EuclidesDB – A machine learning feature database
Reading Time: 1 minute Past week I released the first public version of EuclidesDB. EuclidesDB is a multi-model machine learning feature database that is tight...