Examples of using Predictive data in English and their translations into Chinese
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Predictive Data Platform.
Mr Bloomberg said predictive data were not his focus.
In short, this means keeping a lid on spending through the use of predictive data and analytics.
They include predictive data models and software platforms that analyze behavioral data. .
Examples include predictive data models or software platforms that analyse behavioural data. .
The IBM Cloud platform lets you quickly andeasily deploy a predictive data stream to the cloud.
The report provide predictive data regarding the future estimations for convincing market growth.
Now we use advanced analytics andare able to produce predictive data using machine learning technology.
That predictive data will then be used to streamline operational activities, automating them where possible.
But in the late‘90s we didn't have a predictive data model that described how UPS operates.
The concepts of modelling are introduced in Chapter 8,introducing descriptive and predictive data mining.
Predictive data analytics and machine learning are becoming necessities for businesses that wish to succeed in today's market.
Once the company installed IoT sensors- along with predictive data analytical models- it reduced equipment downtime by 80%.
Predictive data analytics: Proactive management to ensure manufacturing equipment is operating efficiently to maintain a flexible and sustainable plant.
The scale and speed of data, especially in predictive Data Models will be provisioned by Machine Learning or Deep Learning.
For example, some organisations are linking theirselection data with on-the-job performance data and their predictive data with their future business challenges.
When you are building predictive data, you don't know what you are going to need next," said William Hilf, a senior vice president at HPE.
Today's startup founders have access to awide range of tools that offer historical and predictive data analyses to spur better decision-making.
Despite their faith in predictive data science, Silicon Valley workers had little idea of what a Trump administration would mean for their industry.
Some employers, for example,are now linking their selection data with on-the-job performance data and their predictive data with their future business challenges.
Not all predictive data mining approaches are included, leaving some of the well-covered topics including linear regression and neural networks to other books.
Artificial intelligence(AI), predictive data analytics and robotics are already changing how factories, warehouses, distribution centres and delivery systems work.
The data used for predictive maintenance is time series data.
Retailers: predictive analytics and data visualization;
CRISP-DM is the leading approach for managing data mining, predictive analytic and data science projects.