Jeremy Howard made a presentation to the Melbourne R meetup group, where he gave a brief overview of his “data scientist’s toolbox” (using a few Kaggle competitions as practical examples), and also provided an introduction to ensembles of decision trees (including the well-known Random Forest™ algorithm).
The Academy Awards event was held yesterday here in Los Angeles, and there are those technology diehards who tried to combine the creative arts with data science. For example, Adam McCann of Dueling Data created an interactive dashboard showing predictions for the Oscars based on how well the candidates fared in earlier awards, such as the Golden Globes and the British Academy.
Here is an informative short video presentation from the recent Strata Conference 2014 in Santa Clara featuring Mike Hendrickson, VP Content Strategy over at O’Reilly Media interviewing Vince Dell’anno, Big Data Lead for Accenture. The discussion centers around big data trends such as what types of organizations tend to need big data technology more than […]
Data science is all about the underlying mathematics from disciplines like computer science, mathematical statistics, and probability theory. It may appear odd that my partisan feelings toward mathematics can be so well-articulated through a joke, yet the bit of humor below superbly captures my appreciation of the mathematical sciences.
MapR Technologies, Inc., the leader in Apache™ Hadoop® technology for Big Data deployments, recently announced the early access release of the new HP Vertica Analytics Platform on MapR. This high-performance, interactive SQL-on-Hadoop solution tightly integrates HP Vertica’s high-performance analytic platform directly on MapR’s enterprise-grade distribution for Hadoop.
Looker, a business analytics software company, today announced its enhanced Looker Datafold Engine, with support for persistent derived tables to deliver faster, more meaningful business insights. Persistent derived tables rely on Looker’s in-database architecture to empower data analysts and reduce their workloads.