smoothers ahead
Swahili_translation
applying smoothers
Swahili_translation
best smoothers
Swahili_translation
smoothers work
Swahili_translation
using smoothers
Swahili_translation
new smoothers
Swahili_translation
smoothers finish
Swahili_translation
added smoothers
Swahili_translation
quality smoothers
Swahili_translation
more smoothers
Swahili_translation
the data needed smoothing to reveal the underlying trend.
data ilichunguzwa kwa uunganisho ili kusaidia kujua mstari wa miguu.
we used moving averages as simple smoothers for the time series.
tulitumia averages ya uunganisho kama uunganisho wa kawaida kwa mstari wa muda.
kernel smoothers provide a more sophisticated approach to data smoothing.
uunganisho wa kernel hujua njia ya kawaida zaidi kwa uunganisho wa data.
the choice of smoother depends on the data and the desired outcome.
chaguo ya uunganisho inapendeza kwa data na matokeo ya unachoziona.
adaptive smoothers adjust their parameters based on the data characteristics.
uunganisho wa adaptive inaunganisha parametari yao kwa asali ya data.
excessive smoothing can obscure important details in the data.
uunganisho mrefu inaweza kusafiri matokeo muhimu katika data.
spline smoothers are often used for creating aesthetically pleasing curves.
uunganisho wa spline hujitumia kwa kujenga mstari ya kawaida.
regression smoothers can model non-linear relationships in the data.
uunganisho wa regression inaweza kujenga matokeo ya non-linear katika data.
the smoother's bandwidth significantly impacts the resulting curve.
bandwidth ya uunganisho inaathiri mstari ya kusaidia.
we compared the performance of different smoothers on the dataset.
tulitumia kuchangia kwa performance ya uunganisho mengine kwa dataset.
local polynomial smoothers are popular for their flexibility.
uunganisho ya polynomial ya jirani ni mshindi kwa flexibility yao.
smoothers ahead
Swahili_translation
applying smoothers
Swahili_translation
best smoothers
Swahili_translation
smoothers work
Swahili_translation
using smoothers
Swahili_translation
new smoothers
Swahili_translation
smoothers finish
Swahili_translation
added smoothers
Swahili_translation
quality smoothers
Swahili_translation
more smoothers
Swahili_translation
the data needed smoothing to reveal the underlying trend.
data ilichunguzwa kwa uunganisho ili kusaidia kujua mstari wa miguu.
we used moving averages as simple smoothers for the time series.
tulitumia averages ya uunganisho kama uunganisho wa kawaida kwa mstari wa muda.
kernel smoothers provide a more sophisticated approach to data smoothing.
uunganisho wa kernel hujua njia ya kawaida zaidi kwa uunganisho wa data.
the choice of smoother depends on the data and the desired outcome.
chaguo ya uunganisho inapendeza kwa data na matokeo ya unachoziona.
adaptive smoothers adjust their parameters based on the data characteristics.
uunganisho wa adaptive inaunganisha parametari yao kwa asali ya data.
excessive smoothing can obscure important details in the data.
uunganisho mrefu inaweza kusafiri matokeo muhimu katika data.
spline smoothers are often used for creating aesthetically pleasing curves.
uunganisho wa spline hujitumia kwa kujenga mstari ya kawaida.
regression smoothers can model non-linear relationships in the data.
uunganisho wa regression inaweza kujenga matokeo ya non-linear katika data.
the smoother's bandwidth significantly impacts the resulting curve.
bandwidth ya uunganisho inaathiri mstari ya kusaidia.
we compared the performance of different smoothers on the dataset.
tulitumia kuchangia kwa performance ya uunganisho mengine kwa dataset.
local polynomial smoothers are popular for their flexibility.
uunganisho ya polynomial ya jirani ni mshindi kwa flexibility yao.
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