Global warming
models use data from multiple locations over long periods of time.
Please note that if the workbook asks you to Edit Links to another workbook, this is because some of the charts in
the Models use data from the four Linked Returns workbooks.
It creates
a model using data from the Federal Reserve Board's Survey of Consumer Finances and other datasets to estimate household debt and assets, comparing the projected debts and assets of a college - educated household with average levels of education debt to a similar household without debt.
Since
the model uses data from every general elections since 1945, it can only work for parties that have been on the national scene since then.
A computer
model uses this data to estimate neurotransmitter reuptake across the brain.
Glaum and Kessler generated
the model using data from a series of field experiments on the Pacific slope of the Peruvian Andes conducted by Kessler and his collaborators using the wild tomato species Solanum peruvianum.
They first calibrated
the models using data collected between 1961 and 1990 and found it agreed well with observed dune activity.
Working with David Pollard of Pennsylvania State University, DeConto calibrated
this model using data on past sea level rises during warm periods 120,000 and 3 million years ago.
Dividing randomly the patient population in half, the team used data from one half to develop the predictive model, and then tested
the model using data from the other half.
Predictive modeling estimates individuals» probabilities of future outcomes by building and testing
a model using data on similar individuals whose outcomes are already known.
In response to the need for a measurement of risk that was non biased and separate from the bank, in 1950's FICO (then called Fair Isaac and Company), developed the first credit score but it took over 20 more years to create a successful credit scoring
model using data from the three major Credit Reporting Agencies (CRA).
I've run a constrained regression
model using data from the last 15 trading days (which only gives me 4 + degrees of freedom), constraining the lesser currencies to a 10 % weight at most.
Models using data from AWOS and ASOS is suspect.
The team also combined their satellite observations with an ice flow
model using data assimilation to fill in gaps where the satellites were unable to produce measurements.
If there was an instrumentation problem after 1945, then the climate
models using data up to 1945 should have predicted unexpected warming / cooling after 1945 as compared to the instrument records.
About the simplest means to a testable hypothesis about whether something external is changing the natural order is to develop
a model using data from when we know that all was well with the world, and then look at how well that model fits with data observed when unnatural things were occurring.
Not exact matches
These lenders typically
use one of three
models: a balance sheet
model with a risk algorithm that includes nontraditional
data; a «lender - agnostic» marketplace
model that connects you with a variety of lenders; or a peer - to - peer funding platform.
You can waste your time with an old business
modeling approach — write a lengthy document and include lots of charts and
data in it — or you can begin your entrepreneurship journey in a more professional manner and
use business
model canvas.
Palantir, co-founded by Peter Thiel, Joe Lonsdale, Alex Karp, Stephen Cohen, and Nathan Gettings, builds software applications that
use algorithms and
data modeling to help organizations analyze
data.
It is asking the Irish High Court to refer the case to the Court of Justice of the European Union (CJEU), which would then decide whether to ban the
use of «
model contracts» — common legal arrangements
used by thousands of firms to transfer personal
data outside the 28 - nation bloc.
They then
used the
data to
model how germs are spread between around planes.
Ludwin: Because the core innovation in a blockchain — now a blockchain by the way is just a
data model; it's being
used — to meet — to address a lot of different things in, you know, corporate marketing at an event like Davos.
Facebook would fare well if it adopted Amazon's business
model — building a full e-commerce experience on top of its social network and
use data to curate a personalized shopping experience.
You'll still be able to get much of the same user
data you're
used to for ads - that is Facebook's core business
model after all.
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 computer
model built by Reuters
used historic trends and other
data to predict that a Republican will take the White House when Obama's term ends.
Qualcomm is broadening the
use of a lower - cost licensing
model for the next generation of mobile
data networks, a move that could help in contentious talks with two customers including iPhone maker Apple.
And by
using information that customers give out freely, whether it's by checking in to a certain coffeeshop on Foursquare's Swarm app or connecting to free wi - fi in a store, traditional retailers can create a
data - driven
model that will help increase in - store attribution.
Sharran Srivatsaa recently told me how his company, Teles Properties,
uses data intelligence for its brokerage
model.
Jeff Malmad, Mindshare North America's head of mobile, sees that as a
model for how emotional
data will be
used — to understand consumers» «moments of receptivity,» and not only targeting those moments with ads but also
using them to create better products.
«Most reputable
data firms are
using proven predictive
modeling techniques on an individual level, whereas Cambridge was guilty of
using fancy fake science terms on unwitting politicians who do not understand how
data analytics work.
The machine - learning - based
model by Medial EarlySign
used data found in EHRs, such as laboratory tests results, demographics, medication, and diagnostic codes, to predict a patient's risk of experiencing renal dysfunction.
Apple hasn't made an official statement regarding the decision, but many have speculated that it was done in order to help promote its newer Apple Watch
models which
use LTE
data, Tech Times reports.
A 3D virtual
model of the Red Rocks Amphitheatre in Colorado, built with Autodesk software
using drone
data.
In the public cloud
model, customers
use massive
data centers run by Amazon, Google, Microsoft, or another large provider.
Some news accounts indicate that his campaign stopped
using the firm's
data after the South Carolina primary in late February 2016, though federal campaign records show more than $ 670,000 in payments to the firm for «media / voter
modeling» or «voter ID targeting / web service» in March and June, plus $ 218,000 for «media» and «digital service / web service.»
We
use this
data and combine it with other information we have about you to help us predict your preferences, to direct marketing offers that might be more relevant to you, and to help us better analyze customer information for business
modeling purposes.
And
use a very small segment of the Facebook
data — page likes — to try to build personality
models.
However, the Facebook
data was then
used to generate sophisticated
models of each of their personalities
using the so - called «big five» personality traits and characteristics — openness, conscientiousness, extraversion, agreeableness, neuroticism (known as the OCEAN scale).
I think it is incumbent upon alphabet and the other platforms to really engage with their users and explain to them how their business
model works and provide a level of transparency to the users so that they understand how the
data is being
used.
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.
Using real - world map
data, procedural growth algorithms and generative
models, the platform can teach cars how to drive and make sure the car's software is learning how to drive properly, he said.
While Zuckerberg took responsibility for Facebook's shortcomings in preventing abuse of the platform, he nonetheless continued to defend the company's core business
model:
Using personal
data to target ads.
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.
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.
In testimony to the UK parliament yesterday, CA whistleblower Chris Wylie told MPs that senior Palantir employees worked with the firm on the Facebook
data to help it build
models off of the dataset to
use for political ad targeting purposes.
«Now it's more that we're highly confident that we build the best
models, but in addition to that, if you want to
use the underlying
data you'll be impressed with the quality of the
data.»
We can not
use consensus values for our margin forecasts because our margin calculations take into account a great deal more
data than is
used in most analysts»
models.
If this is your approach, be prepared to give an honest answer about what it's going to take to train the
model on these
use cases and how you will be able to acquire this
data in a capital efficient manner.