In this video from the HPC User Forum in Tucson, Prabhat from NERSC presents: Machine Learning. “Prabhat leads the Data and Analytics Services team at NERSC. His current research interests include scientific data management, parallel I/O, high performance computing and scientific visualization.”
The latest addition to the NVIDIA Tesla Accelerated Computing Platform, the Tesla P100 enables a new class of servers that can deliver the performance of hundreds of CPU server nodes. Today’s data centers — vast network infrastructures with numerous interconnected commodity CPU servers — process large numbers of transactional workloads, such as web services.
The video presentation below, courtesy of the Royal Statistical Society, includes a panel of distinguished practitioners to bring their own perspectives on important issues surrounding the growing field of data science.
Arcadia Data continues to deliver on its vision of on-cluster analytics by eliminating the complexities of redundant, overlapping security management inherent in BI stacks which rely on moving data off-cluster.
Our friends over at Loop AI Labs have provided the video presentations below that discuss how they built a framework for Human Capacity Cognitive Computing, which helps organizations to quickly morph at scale into Digitally Transformed companies. Digital Transformation empowers organization to take advantage of all their existing digital assets in new ways, allowing enterprises to re-envision their entire business, including customer experience, operational processes and financial models.
From the World Economic Forum – Davos 2016, we have the proving panel discussion below that examines the state of AI in 2016. How close are technologies to simulating or overtaking human intelligence and what are the implications for industry and society?
Arcadia Data, builder of a visual analytics and business intelligence platform for big data that runs natively on Hadoop, is hosting a compelling webinar on Thursday, March 24, 2016 at 10am Pacific/1pm Eastern to exemplify how you can put Hadoop to work with Unified Visual Analytics and BI.
Here is a compelling interview with data scientist Will Kurt, courtesy of the Becoming a Data Scientist Podcast series. Kurt talks about his path from English & Literature and Library & Information Science degrees to becoming the Lead Data Scientist at KISSmetrics.
In the video presentation below from the Talks at Google series, Domingos discusses his perspectives on the state of machine learning. Pedro Domingos is a Professor of Computer Science and Engineering at the University of Washington.
There’s a lot of buzz surrounding machine learning and Deep Learning in particular. In this video presentation, Venkatatesh Ramanathan, talks about PayPal-Fraud Detection with H2O Deep Learning. He takes you behind the mystery of machine learning and introduces the fast experimental process a data scientist utilized in building a Deep Learning model.