Examples of using Predictive models in English and their translations into Vietnamese
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its appearances were one of the first tests I gave my predictive models.
only the analysis of data but also developing predictive models that use machine learning algorithms to find the outcome of events.
Future studies identifying the most vulnerable during times of emotional exposure may improve predictive models for when an MI will occur and inform future novel preventative therapies.”.
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.
Sophisticated predictive models can be combined with optimization and/or simulation techniques to automatically generate the optimal network structure
We then use those predictive models as a kind of‘Google Sandbox' too fast A/B test various changes to a website, immediately projecting new ratings
By using a mixture of science- data mined from predictive models- and human insights, for example, Nordstrom and T. Rowe Price have created more human
In New York City, these predictive models were built by city employees, but in other cases,
When it comes to disaster relief, predictive models- based on data from news sources,
Trending of the wear through vibration monitoring with detection of metals in the oil allow for correlations and predictive models to be built for remaining useful life.
Amazon Machine Learning makes it easy to build predictive models that help identify potentially fraudulent retail transactions, or detect fraudulent or inappropriate item reviews.
create predictive models to answer the question and storytell about the findings.
However, one major concern with predictive models being used to allocate resources is that these models have the potential to reinforce existing biases.
could be sought and used to generate powerful predictive models.
a business problem and translate it to a data question, create predictive models to answer the question and present the findings.
Web Optimization: Companies can look deeper into the way visitors interact and engage with their web assets by processing dozens of data variables through predictive models.
explore data sets to identify insights, build predictive models, and weave a story around the findings.
which will then be connected through data dots to generate predictive models.
create predictive models to answer the question and present the findings.
big data that everyone's talking about, will allow us to build predictive models for each of us as individual patients.