Examples of using Predictive models in English and their translations into Chinese
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High-quality data is critical to building accurate predictive models, but real world datasets are frequently incomplete or inconsistent.
Build descriptive and predictive models and deploy results throughout the enterprise.
The course reviews relevant results from probability theory, parametric and non-parametric predictive models, as well as extensions of these models for unsupervised learning.
Not only would improved predictive models help scientists better model how evolution works, but also they could aid in efforts to prevent infectious diseases.
Your predictive models shouldn't just influence changes in business processes-- they should also have a measurable impact on business performance.
Important things to consider when integrating predictive models into business practices include.
Accurate predictive models of individuals' movements, their preferences, and their goals are likely to emerge with the greater availability of data.
Apply predictive models to real-time transaction data to identify and stop fraudulent activity.
Amazon Web Services have recently launched their Amazon Machine Learning service that allows users to learn predictive models in the cloud.
Even with what might be considered low-quality data, you can begin to build predictive models that generate real business value.
One of machine learning's strengths is that it can create highly compelling predictive models from relatively small sets of data compared to traditional analytics approaches.
Their solution allows users to build better predictive models in hours, days rather than months, that can be adapted to suit any industry.
Without answers to these queries, predictive models derived from relevant research lack the capability to make causal inferences(Rubin 1974).
In the predictive space they say only about 16% of organizations are doing that, and we deployed some predictive models 10 years ago.
Predictive models trained with data about equipment usage, interior video data, and temperature data can be used to determine when machines need maintenance.
We want to think about intelligent agents, not just predictive models.
In this talk, I will describe ongoing research in developing structured imitation learning approaches to develop predictive models of fine-grained behavior.
The trial will employ a framework developed by Harvard Medical School that will leverage machine learning to discover predictive models for allergies.
A recent scientific expedition, in 2006, collected field data throughout the Pacific Ocean and verified earlier predictive models regarding the rate of acidification.
Similarly, the corrected theory can propose new predictive models, deduce new“facts,” or, of course, lead to another round of data mining.