Sentences with phrase «data model team»

Worked extensively with design lead, architect and data model team and contributed to design solutions

Not exact matches

Scott Tranter, a founder of the data - analytics firm Optimus who was on the data team for Republican Sen. Marco Rubio's 2016 presidential bid, told Business Insider that the psychographic modeling that Cambridge Analytica touted «isn't proven science» and that that was at least partially why some thought the service was nothing special.

But at $ 499 for the basic 9.7 - inch iPad model — with 16 GB and no access to cellular data — it might not be worth the expense for cost - conscious sales teams.

The job ads site recently teamed up with Economic Modeling Specialists Intl. (EMSI) to comb through a trove of data and discover which jobs will be most in demand in the coming year.

Liam partners with senior executives and their teams to implement integrated marketing and sales models, accelerating profitable growth through data - driven strategies and technology - enabled programs.

In doing this we used a suite of models produced by the data science team, which outlined profiles such as undecided voters or inactive supporters, and matched these audiences to online cookies, mobile devices, and social IDs.

What data points is your analytics team using to create predictive models on what constitutes success and what does not.

Customer Insight in Action collects social data and applies adaptive decision models to auto route cases to respective team (s).

The sentiment seemed widespread on tech and media Twitter: there was a lack of specificity in terms of questions about privacy (this allowed Zuckerberg to turn nearly every question about the ownership of data to a discussion about user interface controls that limit where data is shown to other Facebook users), plenty of dodged questions (every time there was a question about the data Facebook generates about users beyond what they themselves enter into the system Zuckerberg needed to «check with his team»), and bad questions that presumed Facebook sells data, letting Zuckerberg run out the clock at least three times by explaining the basics of Facebook's business model (this is precisely why I have been so outspoken about the problem of perpetrating this falsehood: it lets Facebook off the hook).

As such, the company announced a dedicated data sales team, dubbed AMCN Agility, led by Adam Gaynor, who had previously served as the company's VP of advertising and data solutions sales... This comes as AMC and other TV companies like A&E and Discovery are testing a new attribution model that seeks to prove commercials drive business results.»

So now, even before Emma Benson, a field director for the conservative political organization Americans for Prosperity, knocks on a door, she has more than 700 data points about the person behind it, like magazine subscriptions, car ownership (make, model, year), propensity for voting, and likes and dislikes mined from Facebook and Twitter, from rock bands to baseball teams.

RE: Just a little piecprsteve on the credibility of the authors of the study: Study co-author Dr. Roy Spencer, a principal research scientist at the University of Alabama in Huntsville and U.S. Science Team Leader for the Advanced Microwave Scanning Radiometer flying on NASA's Aqua satellite, reports that real - world data from NASA's Terra satellite contradict multiple assumptions fed into alarmist computer models.

«The data and modeling Bolton's PAC received was derived from the Facebook data,» said Christopher Wylie, a data expert who was part of the team that founded Cambridge Analytica.

Combining the data with theoretical models, the team estimated that the initial mass of the star was about 20 times the mass of our sun, though it lost most of its mass, probably to a companion star, and slimmed down to about 5 solar masses prior to exploding.

With those data, the team created a model of the way rainfall affects the amount of peat that can build up in any particular place, published last June in Proceedings of the National Academy of Sciences.

Through modeling carried out by Dr. Sean Brittain, a Clemson University astrophysicist and the lead author on the paper, and with additional data gathered by the team to confirm their initial hypothesis, they were able to investigate the extra emission as it orbited the star.

The team analyzes patient - specific data from magnetic resonance imaging (MRI), positron emission tomography (PET), x-ray computed tomography (CT), biopsies and other factors, in order to develop their computational model.

Kaminsky's team then developed a blood test that measured SKA2 activity and levels of methyl groups, then fed its results, plus data on demographics and stress level, into a statistical model.

His team's DNA data and models suggest that Europeans in the west and north did not pick up DNA from the steppes until much later.

That data will help the team determine if its theoretical models work in real life.

Troublingly, said Evans, when the team compared their data with various modern climate models under Eocene conditions, most models underestimated polar amplification by about 50 percent.

Working has greatly slowed down my progress as well: I'm currently working for the National Oceanic and Atmospheric Administration as part of a team trying to predict snowfall rates from satellite and weather forecast model data.

The two models that came closest to reproducing the team's data had one key aspect in common — they modified the way they accounted for cloud formation and the longevity of clouds in the atmosphere, particularly in the polar regions.

The team also collected data on nearby saltwater - disposal wells and built a 3 - D model to simulate pressure from injection wells and estimate how it would move through underground rock.

The team fit a mathematical contagion model for the spread of disease to the data and was able to show that the trends in the news media stories explained nearly all of the variation in the social media.

«Social media data have been suggested as a way to track the spread of a disease in a population, but there is a problem that in an emerging outbreak people also use social media to express concern about the situation,» explains study team leader Sherry Towers of ASU's Simon A. Levin Mathematical, Computational and Modeling Sciences Center.

When the team compared their results to previously published clinical and genomic data, they found that their model successfully predicted patients» chemotherapy response more than 80 percent of the time.

The museum also received the three - dimensional digital model of the specimens the team produced using the CT scan data.

The team gathered available data for October and November, 2012 to 2016 and plugged it into a particle dispersion model — an algorithm that accounts for geography, wind patterns, and physics to predict how far and in what direction smoke particles travel.

Combining these models with data on local rainfall and snowmelt, the team calculated what fraction of the water is carried to the sea by rivers, and what fraction sinks into the ground.

The team applied this to 2014 stop - and - frisk data from the New York City Police Department, modelling variables that influenced police officers» decisions to stop someone.

Members of his team spend much of their time consulting historical records, borehole logs and other data to model what might be underfoot so they can dig as quickly and accurately as possible and keep the infrastructure work moving ahead smoothly.

When the team combined OCO - 2 data from selected passes over certain power plants in the United States with computer models of how emissions plumes would disperse, its estimates of those plants» emissions fell within 17 % of the actual amounts those facilities reported for those days, the researchers report this week in Geophysical Research Letters.

Drawing on real - world data, his team developed a model showing that hot spots come in two varieties.

But the data collected by the UNSW team is only reliable for modelling when it comes to predicting effects in southeastern Australia.

The team used real - time seasonal rainfall, temperature and El Niño forecasts, issued at the start of the year, combined with data from active surveillance studies, in a probabilistic model of dengue epidemics to produce robust dengue risk estimates for the entire year.

The team's findings, which are based on real, observed data, mirror the predictions of the climate models.

The new computer models and the vast amount of data enabled the team to study the correlation between how quickly new species form and how rapidly they evolve new body sizes on a scale that had not previously been possible.

The team chose to focus on a relatively simple, well - known material in order to expand the range of pressure it could simulate and attempt to validate the model with experimental data.

The team used a very simplified model, and their approach relied on synthetic data.

The team can also use that satellite data to fine - tune their model's predictions for magma overpressure in the future.

Allen's team analyzed IPCC AR5 (5th Assessment Report) climate models, several observational and reanalysis data sets, and conducted their own climate model experiments to quantify tropical widening, and to isolate the main cause.

The team then evaluated the model's predictions using other data.

Today, a team of scientists at Cold Spring Harbor Laboratory (CSHL) led by Professor Partha Mitra describes a new mathematical model that combines large data sets to predict where different types of cells are located within the brain, based on their molecular identity.

By combining this data with Ridgwell's global climate model, the team deduced the amount of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening of the North Atlantic was the dominant force behind the PETM.

The research team analyzed the long - term data set to examine catch rates for the entire fishery, each region, and for individual turtle fishing communities using temporal trend models.

The team compiled data from many studies and for the first time synthesized observations and numerical model output to develop a cohesive view of the carbon cycle in a large coastal region.

To find out, the team analyzed real - world data with two computer models.

The team is planning to submit its new modeling data to a journal instead of releasing it to the public, as it did earlier this month.

Unlike prior studies, which relied on models or indirect data, her team was able to use observations gathered directly from the study region, yet they are consistent with earlier findings.