Examples of using Predictive models in English and their translations into Hebrew
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Well, all our predictive models suggest that a major paradigm shift is coming.
Many researchers already know“garbage in, garbage out,” and with predictive models it can be“bias in, bias out.”.
They build predictive models for new products and services by classifying key attributes of past and current products or services and modeling the relationship between those attributes and the commercial success of the offerings.
However, before you buy them,understand how you can shape your digital marketing using predictive models.
Blakely designed math-based predictive models for us, models to help create geopolitical change.
The technologies that are coming, high-performance computing, analytics, big data that everyone's talking about,will allow us to build predictive models for each of us as individual patients.
Mass-modeling and management quickly builds thousands of predictive models in an automated process and manages them in a real-time operational environment.
It combines the long-term perspective from geological archives with process-oriented investigations of today,with the goal of integrating a field-based understanding of natural systems into predictive models to support sustainable resource management in the face of climate change.
These methods are also“used to develop more precise predictive models to determine the potential for certain operational risk events, such as fraud or theft.”.
And if he succeeds,it's gonna spark a chain reaction of geopolitical events that most of our predictive models place somewhere between World War III and outright Armageddon.
For our buyers, it will help us better understand the price differentiating attributes of our products, and, for our sellers,it will help us build predictive models that can define the probability of selling a given product, at a given price over time,” said Amit Menipaz, Vice President and General Manager of Structured Data at eBay.
For our buyers, it will help us better understand the price differentiating attributes of our products, and, for our sellers,it will help us build out the predictive models that can define the probability of selling a given product, at a given price over time.
For our buyers, it will help us better understand the price differentiating attributes of our products, and, for our sellers,it will help us build out the predictive models that can define the probability of selling a given product, at a given price over time.”.
In the new predictive model, scenarios are considered where three or more players are engaged.
We spent the summer operating on a predictive model that was straightforward and always right.
Let's look at the next predictive model.
Syrian War study yields new predictive model for attrition dynamics in multilateral war.
This new predictive model takes into consideration that there can be three or more players, a truel, which stands in contrast to a range of results for sequential-engagement scenarios," said Niall MacKay.
In order to evaluate the performance of his predictive model, Blumenstock used cross-validation, a technique commonly used in data science but rarely in social science.
For example, a researcher with a millionhuman classified galaxies can build a predictive model that can then be used to classify a billion or even a trillion galaxies.
They estimated that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50%.
The company says it can update the feature's predictive model fairly quickly, so it should improve in short order.
Amplified asking using a predictive model to combine survey data from a few people with a big data source from many people.
In his most moving chapter,Tammet explains how as a child he tried hard to create a“predictive model of my mother's behavior.”.
It is the actual results of teratogenicity testing in primates which have been mostdisappointing in consideration of these animals' possible use as a predictive model.
In amplified asking, a researcher uses a predictive model to combine a small amount of survey data with a big data source in order to produce estimates at a scale or granularity that would not be possible with either data source individually.
Linear predictive coding(LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form,using the information of a linear predictive model.
Identifying the most beneficial distortions, which amount to less than one percent of all the possible distortions that could be produced inside KSTAR,would have been virtually impossible without the predictive model developed by the research team.