Strata Data Conference, NYC – Key Trends and Highlights

[unable to retrieve full-text content]Strata is a conference I very much enjoyed attending. This year, I observed a few common themes that ran across much of the conference content: Data Science Collaboration, Data Ethics, and Platform Optimization.
Original Post: Strata Data Conference, NYC – Key Trends and Highlights

Integrating Audio, Video, and Discussion Boards with Course Notes

As a biostatistics teacher I’ve spent a lot of time thinking about inverting the classroom and adding multimedia content. My first thought was to create YouTube videos corresponding to sections in my lecture notes. This typically entails recording the computer screen while going through slides, adding a voiceover. I realized that the maintenance of such videos is difficult, and this also creates a barrier to adding new content. In addition, the quality of the video image is lower than just having the student use a pdf viewer on the original notes. For those reasons I decided to create audio narration for the sections in the notes to largely capture what I would say during a live lecture. The audio mp3 files are stored on a local server and are streamed on demand when a study clicks on the audio icon…
Original Post: Integrating Audio, Video, and Discussion Boards with Course Notes

RCloud – DevOps for Data Science

After almost two decades of software development, term – DevOps was coined and officially given importance to collaboration between development and deployment of software systems. In this early stage of Data Science field, use of standardized and empirical practises like DevOps will definitely speed up its evolution. By Jo Frabetti, AT&T Research. The process of accelerating the data analysis insights…
Original Post: RCloud – DevOps for Data Science

The Experience of Being a High-Performing Data Scientist

Now in open beta, IBM Data Science Experience (DSX) delivers Machine Learning, Collaboration, and Creative capabilities in an open and integrated environment for team data science, including many productivity features for next-generation data science, The experience of being a working data scientist is not necessarily what people think. A profession that some regard as “sexy” is, more often than not,…
Original Post: The Experience of Being a High-Performing Data Scientist

Driving Data Science Productivity Without Compromising Quality

How will data science teams maintain quality standards in the face of advancing automation? Attend the IBM DataFirst Launch Event on Sep 27 in NYC and learn how to drive greater productivity from your data science teams without compromising the quality of the mission-critical business assets they produce. Productivity in data science isn’t a matter of output in any quantitative…
Original Post: Driving Data Science Productivity Without Compromising Quality

FlyElephant 2.0, Big Data High-Performance Computing Platform

Previous post Next post            Tweet Tags: Collaboration, Docker, FlyElephant, HPC, Open Data Platform FlyElephant is a platform for data scientists, engineers and scientists, which provides a ready-computing infrastructure for high-performance computing and rendering. Community of experts, project collaboration and other updates on the FlyElephant platform The FlyElephant team is happy to announce the release of the platform FlyElephant 2.0,…
Original Post: FlyElephant 2.0, Big Data High-Performance Computing Platform

An Update on fast Transit Routing with Transfer Patterns

Since its beginnings in 2005 with the single city of Portland, Oregon, the number of cities and countries served by Google’s public transit directions has been growing rapidly. With more and larger regions, the amount of data we need to search in order to provide optimal directions has grown as well. In 2010, the search speed of transit directions made…
Original Post: An Update on fast Transit Routing with Transfer Patterns