Machine Learning

JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

An argument in favor of strong scaling for deep neural networks with small datasets

In this post, I'm writing about my most recent paper, which is joint work with Eduardo R. Rodrigues, Matheus Palhares Viana, and Dario Augusto Borges Oliveira. If you prefer videos, there's a pretty comprehensive version below. You can read the full paper on the arXiv. Apart from all the hype that is certainly involved in Machine Learning, Deep Learning, and Artificial Intelligence these days, there is a lot of very good research being done.

A review of Udacity’s Machine Learning Engineer nanodegree

You can say I'm into AI. I've published a couple of papers on the subject and worked with Game AI before. Moreover, I've taken the original AI and ML classes offered by Stanford University back in 2011. Still, I felt my memory could use some refreshing, and decided to give the program a shot. There are some reviews of other nanodegree programs on the Internet, so I'm going to talk about the Machine Learning one specifically.