Sentence examples for data processing and algorithms from inspiring English sources

"We strive to create experiences that feel like magic, enabled behind the scene with innovations in math, data processing, and algorithms," Mr. Lieb wrote.

Bump's David Lieb writes "We strive to create experiences that feel like magic, enabled behind the scene with innovations in math, data processing, and algorithms.

When the startup announced its acquisition by Google, co-founder David Lieb said in a statement that "We strive to create experiences that feel like magic, enabled behind the scene with innovations in math, data processing, and algorithms.

Speaking with Gourley (who will be keynoting at Sustainable Brands 2012), I began to understand how data processing and algorithms have evolved to help us see the footprints of the future.

Many open-source statistical, data-mining, and machine learning software projects give access to a wide range of data processing and modelling algorithms often providing graphical user interfaces.

The orchestration of human cognition and computational power is critical for two primary reasons: (i) the data are too large for purely visual methods and require assistance from data processing and mining algorithms, and (ii) the tasks are too exploratory for purely analytical methods and call for human involvement.

The system reaches an accuracy of a few centimeters that is sufficient to test sensor data processing and navigation algorithms of the Servicer in closed-loop, meaning that the autonomous decisions of the Servicer can be based on the real sensor input.

The Sleipnir library for computational functional genomics provides a wide range of data processing and machine learning algorithms optimized for integrating very large collections of heterogeneous biological data.

Data processing and real-time warning algorithms are proposed for automatically risk postures assessment and warning through a connected smartphone application as soon as dangerous operational patterns are detected.

Other programmers naturally gravitate toward abstract algorithms, data processing and mathematical problems that require a different order of skills and thought processes.

This need for ever faster data processing and manipulation as well as algorithms that scale to high-volume data sets have given birth to a new paradigm or discipline known as "data-intensive computing".