Examples of using Predictive models in English and their translations into Vietnamese
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The ultimate goal is to create predictive models.
Silo ML and predictive models to address a specific segment of the chain.
The big objective, in many cases, is to create predictive models.
Predictive models help to make decisions about where what and when to test.
The huge objective, in many instances, is to create predictive models.
Surtrac functions by creating predictive models with the help of traffic detection mode.
The systems firstused around 295,000 records to generate their internal predictive models.
When it comes to disaster relief, predictive models- based on data from news sources, social media, etc.
There is no substitute forproper feature engineering to improve the accuracy of predictive models.
By using a mixture of science- data mined from predictive models- and human insights, for example, Nordstrom and T.
The more we canadd those external data sets, the more precise our predictive models can be.
Predictive models in the banking industry are developed to bring certainty across the risk scores for individual customers.
Without science we would not have sophisticated tools to undertake this analysis andbuild predictive models.
To build predictive models, which allow us to tailor the Services based on the data we have about how our fans use the Services.
And since we were tracking those statistics,we thought‘Why not create predictive models to do that instead?'”.
And we're gonna show how those were, in fact, predictive models, And how they enabled us to get estimates of what, something that was gonna happen in the real world.
This certification identifies individuals who can prepare data, build,assess and implement predictive models, as well as score new data sets.
Learn from Experts: Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.
A Data Scientist deals with not only the analysis of data butalso developing predictive models that use machine learning algorithms to find the outcome of events.
They build predictive models capable of establishing a diagnosis of the health of ecosystems and identify species that perform important functions.
For example,Northeastern University has been able to use predictive models to identify applicants who would best fit their school if admitted.
Now the data in these disciplines and applied fields that lacked solid theories, like health science and social science,could be sought and used to generate powerful predictive models.
However, one major concern with predictive models being used to allocate resources is that these models have the potential to reinforce existing biases.
A data scientist will be able to take a business problem and translate it to a data question,create predictive models to answer the question and storytell about the findings.
Amazon Machine Learning makes it easy to build predictive models that help identify potentially fraudulent retail transactions, or detect fraudulent or inappropriate item reviews.
In this program you learn how to gain insights from large data sets through the use of statistical methods,optimisation techniques and predictive models, and apply these to business problems.
While such events turn the markets upside down, predictive models keep them at a“business as usual” level, ensuring the stability needed for business to thrive.
Future studies identifying the most vulnerable duringtimes of emotional exposure may improve predictive models for when an MI will occur and inform future novel preventative therapies.”.
Sophisticated predictive models can be combined with optimization and/or simulation techniques to automatically generate the optimal network structure or structures and the corresponding capacity and resource plans," Huang says.