Sentences with phrase «modelling data from»

Now they're feeding their model data from NOAA and elsewhere in hopes of getting a more precise look at the oil's course.

Models are not data and there is no way to claim that there is a pool of model data from which a representative random sample can be drawn to use for calculation of an average value.

«These third - party partners collect and model data from a variety of sources, like public records, loyalty card programs, surveys and independent data providers,» says Facebook on its Partner Categories page.

Not exact matches

The notes, which were photographed as one of his aides closed the binder during a short break from testifying, were extensive and covered issues of data scraping, data safety, and matters surrounding disturbing content on the platform, as well as broader issues of diversity, competition, Facebook's business model, Apple's business model, and «Election Integrity (Russia).»

But this new model is still far from proven, and physicists will need more data and a better understanding of string theory before that's possible.

The technical challenge they had embarked on was indeed daunting, requiring models for turning speech, with all its nuances and inflections, into neatly labeled data that can be fed into machine - learning algorithms, which would then try to extract behavioral patterns from it.

However, Singleton said he has tested his model against historical data from the crisis year, yielding a 16 percent return against a 38 percent slump in the S&P index.

US Navy Rear Adm. Dave Johnson said, during a 2014 symposium at the Naval Submarine League, that he was so impressed by the new Russian nuclear guided missile submarine Severodvinsk that he had a model of the submarine built from unclassified data.

Telenav, the Silicon Valley company looking to bring pop - up ads to your infotainment screen, has been testing a «freemium» model borrowed from streaming music services to entice drivers to share their data.

Until the company can move away from an ad - driven business model (which accounts for 90 percent of revenue), it will continue to make people's data available to advertisers and potentially bad agents.

But it looks as if Tesla is climbing to just over 1,000 Model 3 units a week, according to unofficial data from Bloomberg.

Following this model, realtors transfer data from the MLS system into password - protected websites of their own making, which they intend for use by consumers, who assume the tasks of determining appropriate listing prices and open houses from their realtors.

A few years ago, HP execs said the company would compete head on with Amazon Web Services in public cloud computing, a model in which businesses rent computing capacity from a provider like Amazon, Microsoft or Google (GOOG) rather than building out more of their own data center capabilities.

Companies involved in fields ranging from health care to climate modeling have already tapped into the potential from open government data.

Oracle has said it runs its data centers on Oracle Exadata servers, which are turbocharged machines that differ fundamentally from the bare - bones servers that other public cloud providers deploy by the hundreds of thousands in what is called a scale - out model.

We combine satellite imagery data from Google Earth Engine with the locations of malaria cases collected by a country's national malaria control program, and create models that let us generate maps identifying areas at greatest risk.»

But when policy - makers studied the data, their models foretold a dark future from the collapse of oil prices.

Rackspace can also offer managed services from its own data centers, run customers» IT in on - site at their facilities, or help customers mix and match those models as needed.

The others are organizational enablers: building the talent, culture and operating model to support digital success; developing capabilities to bring Big Data and analytics into decision making; and rebooting the IT backbone to free it from its slow - moving legacy past.

In a hearing held in response to revelations of data harvesting by Cambridge Analytica, Mark Zuckerberg, the Facebook chief executive, faced questions from senators on a variety of issues, from privacy to the company's business model.

Facebook took most of the criticism because of its permissive app permissions model that allowed Cambridge Analytica to collect data from friends of app users, not just the app users themselves.

Cambridge's so - called psychographic modeling techniques, which were built in part with the data harvested from Facebook, underpinned its work for Mr. Trump's campaign in 2016, setting off a furious — and still unsettled — debate about whether the firm's technology worked.

Organizations need to move from modeling the impact of tax reform to focusing on data collection and computations as soon as possible.

We used the same kind of political preference models used by the Obama and Clinton campaigns; however we started five months out from election day and did it with far fewer resources and less data.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

That term generally connotes hacking or a technical compromise of some kind, though the Cambridge Analytica situation involves a since - deprecated lax API and a business model that revolves around collecting massive troves of personal data and doling it out in ways often far from transparent to the average user.

They also launched an incredible Retirement Planning Calculator that pulls in real data from your linked accounts to run a Monte Carlo simulation model to output the most likely results of your financial future.

From my experience working with thousands of small and mid-market (SME) B2B companies, along with studying the reams of data on the B2B lead generation model, I've established a list of the three most common and damaging website mistakes made by SMEs.

Dremio simplifies and governs the process of achieving interactive speed on data from any source, at any scale, at any time, through a self - service model delivered on an open source platform.

We are also starting to see new models from research firms such as FutureSource and Strategy Analytics that are incorporating both survey and supply chain data to determine total sales.

The scenario model is pre-populated with data based on a large sample of U.S. public companies (more than 2,500 companies) over a seven - year period (2004 - 2011), as compiled by BoardEx.1 To access the pre-populated model calculations, click the Calculations / Historical data and Attrition data tabs in the Excel spreadsheet that you can download from this page.

Make the right strategic business decisions and model from accurate data by seeing real - time status reports on your data health.

We reserve the right to withhold any research data, data derived from our predictive modelling, confidential data acquired through third parties, or any other data at our disposal that is essential to our business to the degree permissible under applicable law.

These projections — available through 2008 at the Philadelphia Fed's Real Time Data Center — have generally been more accurate than forecasts from simple statistical models.

Auto benchmarking company Caresoft Global is reportedly selling Tesla Model 3 data from second - hand vehicles it has acquired to Tesla's competitors, including...

For more insight into the technology behind New Constructs, we've created a page that details how we use source data from SEC filings and how that data is then analyzed and integrated into our company models.

That means you need to take the financial model you created and populate the line items with data obtained from your research, in order to learn the average income per unit across all of your property types.

This is just one example of how you can combine insights from data with sophisticated trading models that can act on learnings from those data to seek attractive investment outcomes.

Who has time to read, analyze and model financial data from 10 - K and 10 - Q reports that are more than 200 pages on average?

The B2B brands benefitted from corporate investment in storage and analysis of data but they also had to undergo fundamental changes like shifting to cloud - computing, pay - as - you - go models, rise of mobile and decline of PCs.

The data relied upon is sourced from public records, or statistical calculations («Sources») and that the model results and other information provided in the Consumer AVM reports are provided on an «as is, as available» basis with all faults and defects.

«The University is concerned, amongst other things, about any issues which may arise from any commercial use» of the personality data and models, which the director said were strictly for academic use.

Kogan wrote in the email that he wanted to create statistical models that could accurately identify people at risk for various diseases and illnesses by examining their Web browsing and purchase behaviors, and combine that with medical data from Harvard.

This algorithm synthesizes data from previous trades going back to several years to come up with a model that can predict trends and in which direction such trends will shift to.

This ranges from identifying time trends in transaction data, to creating price prediction models, to estimating the relationship between flows of cryptocurrencies to exchanges and subsequent trading activity.

Join New Constructs Gold Membership today to build a portfolio based on data from the # 1 experts in financial modeling and company valuation software.

For example, when using the model to make predictions for time t +1, only data at time t was used; i.e. the 7 technical features from EOD yesterday were used to predict the price direction for today.

The highlight was working on a whole - of - life data project that involved constructing networks of environmental monitoring stations in the Australian outback, and then using the collected data to empirically model groundwater dynamics — which doesn't sound all that interesting, but was actually quite a departure from the generally accepted contemporary methods.

By removing hunches from the selection process, the models are able to identify stable businesses with strong fundamentals based on data, the types of companies that will withstand the ups and downs of the market over the long - term.

«Facebook's defense that Cambridge Analytica harvesting of FB user data from millions is not technically a «breach» is a more profound & damning statement of what's wrong with Facebook's business model than a «breach,»» said University of North Carolina academic Zeynep Tufekci, who is influential on social media topics, on Twitter.