Examples of using Predictive model in English and their translations into Japanese
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According to a new predictive model by Mauricio Gonzalez-Forero and Andy Gardner, human brain size evolved in response to a number of different factors that were 60 per cent ecological, 30 per cent cooperation-related and 10 per cent related to competition between groups.
WiFi Planning: Setting WiFi Coverage and Capacity Goals To start the wireless planning right, you will need to set the coverage and capacity goals, create a predictive model that calculates how many access points(APs) you will need and what their ideal placement should be, verify the accuracy of the WiFi planning predictions with the help of a manual site survey, and be ready to adjust as you go.
Predictive models.
It is also called predictive modelling.
Diverse Predictive Models: ways of inferring cause and effect.
Apply native predictive modelling to Big Data.
Predictive Models: TensorFlow and Cloud Machine Learning Engine provide a sophisticated modeling framework and scalable execution environment.
Although helpful in many instances, the use of predictive models raises a number of questions.
Refine and personalize them with action strategies that use business rules, Einstein predictive models, and other data sources.
The utilization of predictive models typical for motor insurance is illustrated in Figure 1.
FNOL Decision Support Tool in Real-time The choice of predictive models depends on policy type and insurers' preferences.
Once initiatives are in motion, analytics professionals can perform backward-looking analyses to assess the accuracy of predictive models and the success of the initiatives.
This set has six chemometric predictive models that group milk fatty acids according to their chain length and relation to their biosynthetic origin in the cow.
Streaming training data that allows for rapid adaptation to real-time data and allows refinement of predictive models.
Capture key concepts, themes, sentiments and trends and ultimately improve the accuracy of your predictive models.
Collect information on the outcomes of executed decisions to refine predictive models and future optimal answers.
As data science-driven insights are put into action, the results of those actions are fed back into the system of predictive models and algorithms.
The solution also allows the bank to use machine learning and predictive modelling to transform existing processes to detect fraud faster.
By using AI and predictive modelling, clubs may be able to predict injuries to certain players and their recovery time.
Patent-pending approach to portfolio bid optimization runs predictive models to maximize campaign results.