Operational Database Management Systems
About Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. In the past, these two modes of operation were found only in separate, stove-piped...
Advertisers need to quantify, in real time, which ads are generating conversions and which are not—and they must constantly revise ads, advertising venues, and placement among surrounding content on the fly to improve results....
BY Randal S. Olson, Ph.D. Senior Data Scientist, Institute for Biomedical Informatics. University of Pennsylvania Aside from my blog, I develop open source teaching materials for topics related to data science, data visualization, and machine learning....
By Jeff Leek @jtleek Find me on Github [papr] – A tindr like web-app for rating preprints from bioRxiv. Written by Lucy D’Agostino McGowan, Nicholas Strayer, and Jeff Leek. [Rail-RNA] Rail-RNA is software for alignment of multiple RNA-seq samples...
Jeff Leek, Steven Salzberg, James Taylor, Ela Pertea, Liliana Florea, Ben Langmead, and Kasper Hansen created a 7 course specialization in genomic data science. Some cool things about the program are: Every class runs every month. It is designed from...
Jeff Leek, Roger Peng, Brian Caffo, Nick Carchedi and Sean Kross created a 9 course specialization in data science. Some cool things about the program are: Every class runs every month. The course material is all open source and on Github. It...
This class was an 8 week introduction to Data Analysis, starting from very basic concepts of what type of data analyis questions you can ask, to how to get data and do a basic...
Provides an intensive introduction to applied statistics and data analysis. Trains students to become data scientists capable of both applied data analysis and critical evaluation of the next generation of statistical methods. Since both...
Trend Report 2016-2017 Can mixed media make us more empathic? What is the future of work in the 21st century? And how far should we go with human enhancement? These questions (and more) form...
Deep Learning Pipelines is a new library published by Databricks to provide high-level APIs for scalable deep learning model application and transfer learning via integration of popular deep learning libraries with MLlib Pipelines and...