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And furthermore, you can't just train a bot to do what a human does — you'd have to provide millions of examples to adequately show what a human would do with thousands of given objects.
The set of known data is often called a training set and the bigger the training set the better are the chances of getting a good model, i.e., the model has seen enough examples to adequately cover the relevant chemical space.
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The revelation that the online document-storage service Dropbox tried to hide a glitch in its network that allowed any user to log into any account is but one of several examples of companies failing to adequately disclose vital information about customer data, how it is being used and what steps are being taken to mitigate the effects of cyberattacks.
The training set needs enough examples of each event to adequately train the number of gaussian mixtures the HMM topology has.
The failure of this agent to adequately model fly behavior is an example for the rarely appreciated property of nonlinear systems to produce linear output under equilibrium conditions.
The Bing child pornography problem is another example of tech companies refusing to adequately reinvest the profits they earn into ensuring the security of their own customers and society at large.
The history of social work is littered with examples of private arrangements that failed to adequately protect vulnerable parties.
On the other hand, the HE checklist for environmental barriers only covers the housing environment arena, and to adequately assess for example public buildings, shopping malls, theaters, bus stops etc., new lists of barriers have to be compiled (see e.g. [ 15]).
For example, students were not taught how to adequately take sexual histories from, or provide safer sex information to LGBT patients.
For example, while England is "seeing a failure to adequately address the chronic shortage of midwives", Scotland and Northern Ireland have enough midwives.
Furthermore, it allowed each family to act as its own control, thus minimising the 'confounding' effect of factors that the researchers were not able to adequately adjust for, for example, sociodemographic factors, etc.
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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