With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of just reading a book, in this regular feature column, I will provide some great video learning resources. You can follow these YouTubers and gain insights and advice from their years of experience in the field. Plus you can learn how to code by following through their tutorials and pick up a new skill. So, fire up YouTube below and start learning!
SKA Signs Big Data Cooperation Agreement with CERN
July 16, 2017 by Leave a Comment
SKA Organisation and CERN, the European Laboratory for Particle Physics, signed an agreement formalising their growing collaboration in the area of extreme-scale computing. The agreement establishes a framework for collaborative projects that addresses joint challenges in approaching Exascale computing and data storage, and comes as the LHC will generate even more data in the coming decade and SKA is preparing to collect a vast amount of scientific data as well.
Case Study: More Efficient Numerical Simulation in Astrophysics
July 11, 2017 by Leave a Comment
Novosibirsk State University is one of the major research and educational centers in Russia and one of the largest universities in Siberia. When researchers at the University were looking to develop and optimize a software tool for numerical simulation of magnetohydrodynamics (MHD) problems with hydrogen ionization —part of an astrophysical objects simulation (AstroPhi) project—they needed to optimize the tool’s performance on Intel® Xeon Phi™ processor-based hardware.
MIT Sloan Professor Builds New Meta-analysis Method to Help Settle Unresolved Debates
April 22, 2017 by Leave a Comment
Science progresses when researchers build on prior work to extend, test, and apply theories. Aggregating the quantitative findings from prior research – meta-analysis — plays a significant role in advancing science, however current techniques have limitations. They assume prior studies share similar substantive factors and designs, yet many studies are heterogenous. A new method, co-created by MIT Sloan School of Management Prof. Hazhir Rahmandad, solves this problem by aggregating the results of prior studies with different designs and variables into a single meta-model.
Data Capture and Science Strategy
April 5, 2017 by Leave a Comment
Innovative drug development organizations are leveraging scientific and technical advances to data capture data that is increasingly multidimensional and information rich. However, existing data capture and sharing processes are often unable to support efficient integration and interpretation of this data. To learn more about available technologies available for data capture and relation science strategy download this white paper.
InsideBIGDATA Guide to Scientific Research
August 31, 2016 by Leave a Comment
This technology guide is geared toward scientific researchers working at universities and other research institutions (e.g. NASA, JPL, NIH, etc.) who may benefit from learning more about how big data is meaningfully transformative in the way it can be applied to the data collection and analysis part of their projects. Further, we’ll illustrate how Dell big data technology solutions powered by Intel are actively helping scientists who are focused on their data, on their models and on their research results. Learn more by downloading this guide.
