Deep Learning and Geometry: advances in signal processing and imaging

This short post features a video and respective slides (PDF format) of a talk by DR. Michael M. Bronstein about the emerging topic of Geometric Deep Learning. The field of deep learning just does not stop to surprise me in unexpected ways. Dr. Bronstein is a prominent pioneer in Geometric Deep Learning and his research is … Continue reading Deep Learning and Geometry: advances in signal processing and imaging

Advertisements

From Complexity Digest – From remote-controlled to self-controlled citizens

From the Complexity Digest Blog feed I always find something interesting. Worth to repost here today. This is featured article from the European Physical Journal special topics. It is and essay from authors from ETH Zürich (Switzerland) and the Dutch Delft University of Technology and it is about the current ongoing digital/IT revolution in technology … Continue reading From Complexity Digest – From remote-controlled to self-controlled citizens

Poisson is Fish: Principal Component Analysis in R

  I share today here a most recent post from a nice Blog called PoissonIsFish. This is a blog from a Portuguese(Brazilian?) speaker doing a PhD in Berlin, Germany. This is a long and accessible demonstration and explanation on how to do Principal Component Analysis with the R programming language. Principal Component Analysis in R   … Continue reading Poisson is Fish: Principal Component Analysis in R

The State of Data Visualization – Catherine D’Ignazio at Information + Conference

I recently discovered another aggregator of Blogs and resources for statistics and Data Science called StatsBlogs. In it we can find numerous Blogs, links to websites and nice posts on Statistics/ Data related subjects. One of today's best entry in StatsBlogs was this post about the current issues and the overall sate of information visualization. … Continue reading The State of Data Visualization – Catherine D’Ignazio at Information + Conference

Quantum Boltzmann Machines for Deep Reinforcement Learning

The passing year of 2016 was a year awash with many, too many to count, interesting papers within the fields of Deep Learning and Artificial Intelligence. This is a sign of a healthy research community, a period of unprecedented creative efforts and a probable breakthrough period in the technologies around those subjects, through to becoming … Continue reading Quantum Boltzmann Machines for Deep Reinforcement Learning

The Highly Scalable Blog: Probabilistic Data Structures for Web Analytics and Data Mining

  While I was doing my regular daily e-mail check, with the usual reading and parsing through the excellent The Morning Paper, I could find  in the latest post about a new data streaming framework Snappydata, a link to another excellent blog on these issues. The name of the Blog is Highly Scalable Blog (a quite … Continue reading The Highly Scalable Blog: Probabilistic Data Structures for Web Analytics and Data Mining