Examples of using Predictive models in English and their translations into Indonesian
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Ecclesiastic
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Computer
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Ecclesiastic
Developing descriptive and predictive models and theories of interaction.
Predictive models are models of the relation between the specific performance of a unit in a sample and one or more known attributes or features of the unit.
Developing descriptive and predictive models and theories of interaction.
The model shows an optimal transmission temperature for malaria that, at 25 degrees Celsius,is 6 degrees Celsius lower than previous predictive models.
While making predictions, machine learning trains predictive models by making use of tagged data.
However, one major concern with predictive models being used to allocate resources is that the models have the potential to reinforce existing biases.
Stanford professor Nigam Shah toldBloomberg that around 80 per cent of time developing predictive models is spent making the data readable for the AI.
Artificial neural networks- Non-linear predictive models that learn through training and resemble biological neural networks in structure.
Join us to learn how to gain insights from large data sets through using statistical methods,optimisation techniques and predictive models, and apply these to business problems.
Our goal is to use this data to develop predictive models to help clinicians diagnose and treat all human diseases.
Predictive models often perform calculations during live transactions- for example, to evaluate the risk or opportunity of a given customer or transaction to guide a decision.
He has built up a network of employees, a database of statistics, and predictive models that far surpass what many NBA franchises have available to them.
If utilized, ai can build predictive models for expense management, high value losses, reserving, settlement, litigation and fraudulent claims by using complex algorithms.
Similarly, sensors in devices such as windmills can track data anduse predictive models to program downtime for more efficient energy use.
However, one major concern with predictive models being used to allocate resources is that these models have the potential to reinforce existing biases.
By a frequent examination of a customer's past service usage, service performance,spending and other behavior patterns, predictive models can determine the likelihood of a customer terminating service sometime soon.
Before delving into complex predictive models, some basic data analysis can go a long way to improving results in soccer betting.
About one year into the surface mission, and having assessed that ancient Mars could have been hospitable to microbial life,the MSL mission objectives evolved to developing predictive models for the preservation process of organic compounds and biomolecules;
I am sure that we could create predictive models to identify the profile of these people especially since loyalty cards are so heavily used.
These methods are also“used to develop more precise predictive models to determine the potential for certain operational risk events, such as fraud or theft.”.
We created personalized predictive models offline, in our servers and computers, and we wanted to test them in real time in order to generate alarms and let the patients know, in advance, when the migraine pain is[going to] start.".
However, the literature shows time and time again that the best predictive models for future job performance combine various predictors, such as IQ tests, structured interviews, and personality tests together.
They build predictive models for new products and services by classifying key attributes of past and current products or services and modeling the relationship between those attributes and the commercial success of the offerings.
This kind of research has been happening for sometime now in the field of river hydraulics, but most predictive models that have been developed to date assume the dike is always stationary and that water flowing by simply erodes its surface continuously.
Image recognition, diagnostic support tools, predictive models and other innovations provided by artificial intelligence are crucial in all areas of society.
To get balloons to where they need to go,Loon uses predictive models of the winds and decision-making algorithms to move each balloon up or down into a layer of wind blowing in the right direction.
The paper, by 22 internationally renowned scientists,calls for better predictive models based on a detailed understanding of how the biosphere reacted in the distant past to rapidly changing conditions- including climate and human population growth.
The hope is that the LAPAN PSTA researchers can provide data,both satellite observations and predictive models, as well as provide knowledge in the form of technical guidance(bimtek) and Focus Group Discussion(FGD) to the UNHAS related to the analysis and mitigation of hydrometeorological disasters.
The paper by 22 internationally knownscientists describes an urgent need for better predictive models that are based on a detailed understanding of how the biosphere reacted in the distant past to rapidly changing conditions, including climate and human population growth.