Examples of using Predictive modeling in English and their translations into Korean
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Of the four types of data analytics, predictive modeling is most closely related to the predictive analytics category.
Medical diagnosis is one of the best examples of predictive modeling in healthcare, which has already experienced major changes as a result.
Predictive modeling can help HR professionals predict a wide variety of key issues.
Unless certain conditions are met, predictive modeling may not provide the entirety of its potential value.
At its core, predictive modeling significantly reduces the cost required for companies to forecast business outcomes,
Despite its numerous high-value benefits, predictive modeling certainly has its limitations.
In one case, a trucking company centered in the European market was able to cut its fuel costs by 15% using predictive modeling.
When forecasts indicate extreme fire conditions, SCE will begin predictive modeling to assess potential impact.
We're committed to delivering the latest research on actuarial and insurance issues, including the industry's most comprehensive survey on predictive modeling practices to date.
As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.
Partially due to recent advancements in computing power and data quantities, predictive modeling technologies have improved the impact of regular newsworthy breakthroughs.
use R or Python, or augment an interactive predictive modeling environment that makes it easy to create, modify and assess thousands of models quickly.
If a predictive modeling professional doesn't have sufficient amounts of data to construct the model,
With more intelligent computers, the work of predictive modeling professionals, much like with other occupations, will change to adapt to newly available predictive technology.
The MicroStrategy platform allows public safety departments to apply sophisticated analytics and predictive modeling tools to correlate current and historical data with information from other public data sources.
This software suite uses data collection, aggregation and predictive modeling techniques for detailed and powerful data analysis- making sense of the vast amount of data available from a workflow environment.
The Predictive Sciences Program at Merck is a comprehensive package of data access, aggregation, predictive modeling, and advanced analytics that will transform productivity and inform the research and development decision making processes.
Predictive modeling professionals with skills or expertise in the Hadoop ecosystem, especially MapReduce and packages like Apache Hive, can find a salary premium for those skills.
We will primarily use the term“predictive modeling” in this article, but the terms predictive modeling, predictive analytics,
In the case of genome editing, full-stack engineering means using predictive modeling to determine the most effective gRNAs, creating extremely high-quality gRNA and then performing sophisticated edits.