Christmas is an odd but challenging of time of the year, especially for the nerdiest of us. The number of problems to solve are never ending. There isn’t enough com...
Training modern deepnets can take an inordinate amount of time even with the best GPU hardware available. Inception-3 on ImageNet 1000 using 8 NVIDIA Tesla K40s takes abo...
At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics. ***** Today’s techie topic ...
This announcement was published by the American Statistical Association. The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpo...
NIPS2016 (Neural Information Processing System) is an annual event that attracts the best and the brightest of the field of Machine Learning both from academia as we...
1. Introduction Most tasks in Machine Learning can be reduced to classification tasks. For example, we have a medical dataset and we want to classify who has diabetes (po...
Owing to the data deluge and the Cambrian explosion of machine learning techniques over the past decade, one might have expected the transformation of marketing strategy ...
As part of the research underpinning Developer Economics we actively monitor industry trends and opportunities, looking for new areas of significant developer interest. I...
Summary: The largest companies utilizing the most data science resources are moving rapidly toward more integrated advanced analytic platforms. The features they are ...
As we approach 2017, we have compiled a list of the most popular data science, machine learning, deep learning and related articles published on DSC in 2016. Many great a...