Sentence examples for analytical machine from inspiring English sources

Exact(13)

Of all calculating machines, the analytical machine or engine is the most comprehensive in its powers.

The first computer, Charles Babbage's analytical machine of 1837, would have had the equivalent of 675 bytes of memory.

For example, highly structured data found in conventional databases with well-understood schemata tend to support traditional, highly analytical machine learning approaches.

Babbage had completed a calculating machine, the Difference Machine, but it was his next, the unfinished Analytical Machine, that captivated Ada.

On the other hand, it seems that from the story presented in "Babbage's Dream Come True," the British government was justified in refusing to fund Babbage's Analytical Machine.

The brain, it turns out, is not so much an analytical machine as a gap-filling machine: It takes noisy, incomplete information from the world and quickly fills in the missing pieces on the basis of past experience.

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Similar(47)

Vannevar Bush's first differential analyzer: This machine was capable of solving differential equations mechanically — a milestone in the development of modern analytical machines.

And though the differential analyzer was, in Bush's words, "the first of the great family of modern analytical machines to appear-the computers, in ordinary parlance," today's PCs aren't direct descendants of his contraption.

Company representative Valerie Jorquera also highlighted the need for a consistent chromatographic analysis of fuel samples, drawing attention to the fact that the samples provided during the event had been analysed by a different company than the reference sample, and that the differences may have been caused by the use of different analytical machines and methods.

Among commonly used analytical machine-learning techniques [ 30- 35], the RF algorithm has shown its power in classifying proteins based on noisy amino acid composition [ 36- 40].

At the end of this section we explain what we mean by crisis analytics, which is basically deploying different analytical and machine learning techniques on the big data collected during a crisis situation.

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