Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
That's because making a machine-learning system more accurate requires feeding it lots of example data to tune its abilities.
It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination.
For example, data to capture rural women's multiple job holding and seasonal work are particularly difficult to obtain with existing systems.
For example, data to better determine and monitor water quality (e.g., temperature change, flashiness, non-macroinvertebrate biotic indicators) were missing from most watersheds within the parks.
Similar(56)
Figure 1a shows two such conditions in the example data relating to degraded transcripts due to increased presence of RNases not removed by RNeasy treatment.
We then cross-tabulated these attributes with qualitative data coded to particular themes (for example data coded to the themes 'relationships with staff' or 'medication').
For example, data belonging to Classes I and II in figure 9 indicate potential GC content equilibria, according to formulas (6.1) and (6.2).
Example data fits to the Hill equation are shown in Fig. 2, where millimolar concentrations were used to generate this plot.
In particular, we show the value of organizing the example data according to object category templates.
A key subproblem in the inference engine is the token ambiguity problem --- the problem of determining which substrings in the example data correspond to complex tokens such as dates, URLs, or comments.
For example, data used to determine customer sentiment -- like transaction history, call logs, Instagram posts and fashion blogs -- could not be used to train a neural network to determine supplier risk.
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