Sentence examples for various sets of data from inspiring English sources

If there is a lack of consistency across the various sets of data, it is in Froome's heart rate, but current training science contends that heart-rate is subject to so many variables that it is far less reliable as a measurement of performance than power.

So he and his co-founder decided to start Okera, which is looking to make it easier for stewards of various sets of data to ensure the right people have the right access.

This commentary, however, attempts to show that the conclusion seems to be true, but arguably for the wrong reasons because the details in the various sets of data suggest a possible alternative explanation.

Machine learning systems are basically prediction engines that learn the characteristics of various sets of data and then, given a new bit of data, assign it to one of several buckets: an image recognition system might learn the difference between different types of cars, assigning each picture a label like "sedan," "pickup truck," "bus," etc. Mistakes are inevitable: consider a BRAT or El Camino.

In this way discrepancies between various sets of data are revealed and the consistent set of data for the standard potential of the cell so obtained can be used for the evaluation of thermodynamic acid dissociation constants and standard reference pH values in this important, much studied mixed aqueous solvent system.

Indeed, all together the various sets of data suggest that the clines of frequencies observed in Europe for some other markers predate the introduction of agriculture and that the E, G and J clades also came to Sardinia by a pre-Neolithic pathway.

In a big victory for the Free Our Data campaign, Gordon Brown has announced that various sets of OS data - presently expected to be vector and raster datasets from 1 25,000 up to 1 50,000 maps will be made available for free reuse, including commercial reuse.

Open image in new window Fig. 12 Model predictions for various sets of experimental data.

The corresponding a priori predictions of the model have been validated with various sets of experimental data, covering a rather wide range of operating conditions, in terms of conversion, pressure and molecular weight distribution as a function of time.

Kobayashi et al. (2016) and Kubo et al. (2016) performed joint source inversion to estimate the rupture process of the 2015 Gorkha earthquake using various sets of observational data.

This uncertainty IInd was carefully evaluated and was calculated based on a series of experiments where different operators analyzed various sets of analysis data at different points in time.