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While it is a phenomenon of growing significance, scholarly work on smart learning analytics is lacking, both conceptually and empirically.
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Each of these examples represents widely used predictive analytics applications; however, each is lacking in key areas.
But analytics is one place where YouTube is lacking.
Although web-based services have been claimed to hold promise for parent support, a meta-analytic review of online parenting interventions is lacking.
However, a common analytic model describing the network architectures in terms of servers, switches, transceivers, and fibers is lacking.
In the defense arena, existing tools for such trades, have been guided by policies set forth in the Defense Acquisitions Guidebook (DAG) (5000 series) and the System Engineering Guide for System of Systems (SoS-SE), but are lacking an analytic perspective towards more informed decision-making.
Many authoritative commentators agree that analytic evaluation methods and tools are lacking [ 32- 34].
Where empirical data are lacking, a less analytic approach such as NGT or Delphi may be more appropriate.
Finally, we suggest a purely analytic method to further investigate these norms which up to now has been lacking.
For some users, that lack of analytics is a privacy boon.
In contrast, the lack of prescriptive analytics is evident from the results.
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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