Your English writing platform
Discover LudwigExact(10)
While the year of Dear Data is over, its impact, says Lupi, is lasting.
The time for sitting on flu data is over.
The audacious Rosetta mission's attempt to land on a comet and send back scientific data is over – for now.
The total PMU data is over 40 GB and covers over 140 transmission lines.
The promised land of green pastures, endless and fast data requests and deep penetration of user data is over.
This is of special interest in remote sensing as the minimum necessary number of training samples in the case of a covariance-based classifier (such as maximum likelihood) for AVIRIS class data is over 200 per class, a prohibitively large number for a dozen or more classes. .
Similar(50)
One major problem of using a small amount of training data is over-fitting.
However, all three reviewers believe that the data is over-interpreted in many places, and that this detracts from the manuscript.
Because the data were over-dispersed a dispersion parameter was estimated.
Given the data were over-dispersed; we chose a negative binomial distribution model rather than a Poisson model.
4) Some data are over interpreted.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com