The concept of “edge computing” has been around since the late 90s, and typically refers to systems that process data where it is collected instead of having to both store and push it to a centralized location for off-line processing.
GPUs built on CUDA have been used for deep-learning and other applications for a long time. But, when you look at data scientists and they work they’re doing, CUDA doesn’t really fit well into their workflow.
Managers understand that having employees who understand the latest tools and technologies is vital to success .
Employees at risk of being replaced by automation need to transform themselves into data facilitators .
We tried four different GPU Cloud Computing services to find the options with the best performance, price, and convenience .
At The Data Incubator, we pride ourselves on having the most up to date data science curriculum available. Much of our curriculum is based on
Our founder, Michael Li, recently collaborated with his colleague Raymond Perkins, a researcher and PhD candidate at Princeton University, on this piece about big data and polling.
New courses target the need for managers and techies to talk to each other as data proliferate For most students, a top degree in a
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