Software services powered by machine learning can absorb and learn from
large quantities of data in order to make decisions and operate more efficiently.
Not exact matches
The most recent batch
of data from the American Apparel & Footwear Association suggests a
large swath
of U.S. consumers is opting for quality over
quantity:
in 2011, Americans spent 4.9 % more on apparel, while the number
of items purchased dropped 5.3 %.
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.
Even though firms still report struggles and obstacles
in dealing with
large quantities of data, it's improving their businesses across a range
of operational and strategic functions.»
A statement confirmed a «
large quantity»
of personal
data had been lost along with the laptop, including the passport details, National Insurance numbers, drivers» licence details, family details, and NHS numbers
of people who «have either expressed an interest
in, or have joined, the Royal Navy, the Royal Marines and the Royal Air Force».
«This
large quantity of data has enabled us to verify the hypothesis that the variability
of this object is due to changes
in the relativistic Doppler factor» explains José Antonio Acosta Pulido, a researcher at the IAC / ULL and one
of the authors
of the article, which is published today
in Nature magazine.
The result is a new, interdisciplinary field called «
data science» — a fusion
of statistics, computer science, and analytics
in which researchers analyze
large quantities of data, identify meaningful trends, and then find a way to exploit the resulting knowledge.
However, photographs and other
data from spacecraft orbiting Mars indicate that water once flowed on the surface
of the red planet and is still present
in large quantities underground.
Based on
data from a post-student teaching survey, we find consistently strong evidence
of large effects
of being assigned to high versus low index placements, particularly
in terms
of teacher candidates» perceptions
of the quality
of instruction
of their cooperating teachers and the
quantity and quality
of the coaching that they received.
Its activities include the investigation
of new programming concepts to better exploit computing power and the participation
in research projects dealing with efficient and reliable management
of large quantities of data.
How on earth does he presume to know anything about processing
large quantities of data and finding (or not) signals
in them.
Their Kickstarter campaign is well on their way to their initial goal
of $ 50,000, which will enable the team to purchase the hardware components
in larger quantity (and a cheaper cost) and produce more assembled units, thereby enabling more users and more
data, as well as finish the mobile app (and perhaps build an Android version).
This requirement ensues that more comprehensive solar intensity
data be provided by the Bureau
of Meteorology and that the Australian National Electricity Market Operator provide
data in GIS format
of each demand node using the Australian Statistical Geography Standard developed by Australian Bureau
of Statistics to enable easier integration
of large quantities of geographic
data from a number
of sources.
The
data reveal that last month, despite an overall drop
in economy - wide energy use, Japan imported and consumed far
larger quantities of fossil fuels than it did
in January 2011, before its earthquake, tsunami, and nuclear disaster updended its economy and energy system.
Policies are put
in place to ensure that businesses operate
in line with regulatory standards and are especially important when it comes to effectively managing
large quantities of data.
For eDisclosure purposes, this can pose a particular challenge as organisations will usually need to access
large quantities of data very quickly and will need it
in a standardised format that can be prepared for disclosure.
The frequency
of data breaches that go unreported is especially worrying
in a sector such as legal, which handles
large quantities of sensitive
data,» said Dominic Johnstone, Head
of Information Management at Crown Records Management.
What's really wild about all
of this is that Facebook knew that Cambridge Analytica had gained access to a
large quantity of its user
data all the way back
in 2015.
Swarm, which operates similarly to BitTorrent, could allow contracts to be smaller
in size, while delivering
large quantities of data off
of the blockchain.
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.
Zuckerberg did anticipate planned future action
in the form
of three initiatives to secure user
data: 1) they will conduct a an audit
of any app that had access to
large quantities of information before they secured their API
in 2014, making sure there is no suspicious activity, 2) they will restrict developers»
data access further, asking them to sign a contract and adding an expiry date to third party connections on apps you may no longer use, 3) they will launch a new tool (one already exists but is somewhat obscured within Facebook's security settings) next month that will help users better understand which apps have your
data, and giving you easy access to revoke those permissions.
Project Discovery is embarking on a major program
of exoplanets hunting and is calling on capsuleers to assist
in analyzing the
large quantities of data.
Tech companies sucking up
large quantities of data indiscriminately without explicit user consent — especially
in the intimate environment
of one's home — is one
of the primary fears
of privacy advocates skeptical smart speakers won't be abused.
In 2017, the company's CEO boasted publicly that it was «able to use
data to identify... very
large quantities of persuadable voters... that could be influenced to vote for the Trump campaign.»
Triggmine will analyze a
large quantity of data: demographic characteristics, interaction history, degree
of sensitivity to discounts, and interests
in relation to product categories.
Entered
large quantities of data gathered by primary researcher into databases for use
in analysis
Highlights Able to provide support to high - level executives while simultaneously managing the office Act as gatekeeper Maintain the schedules
of several executives Coordinate meetings, travel plans and appointments Excellent customer service skills Compose and send various documents and correspondent emails for executives Maintain
large quantities of client files Research facts provided
in documents for accuracy Proficient
in Microsoft Office Strong communication skills Experience Executive Assistant 2/1/2011 — Present ABC Company — Augusta, GA Oversee the daily operations
of the office while supporting three executives Update client files when needed and keep them filed properly Schedule various appointments, meetings and trips for executives Research information and compile
data for various reports, documents and presentations Manage correspondence between clients and vendors Maintain the cleanliness and order
of the office
• Familiarized the
data management team with recurring
data maintenance activities, resulting increased ease
in managing
data on a daily basis • Performed analysis on
large volumes
of data • Prepared correlating documentation and analytic reports • Executed routine
data audits to assure that product
data is constantly
in sync • Identified root causes
of data discrepancies and ensure that they are resolved immediately • Escalated
data accuracy and quality issues and maintain and report metrics on
quantity and quality
of work