Sentences with phrase «use of the big data which»

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In a realm of swirling, incomprehensible big biological data — which is, perhaps, another way of thinking about the human body — the opportunity to use computer learning to better anticipate which drugs will work well (and not so well) in any one person is one we shouldn't pass up.

Its big data technology using hundreds of thousands of data points to give you key actionable insights which are useful for shoppers and retailers alike.

Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 2000s.

Technology analysts have credited Cloudera, founded in 2008, as one of the pioneers in popularizing big data technologies like Hadoop, which companies use to store and process massive amounts of data across thousands of computers.

That in itself — combined with more scrutiny from regulators over how data is collected, used, and shared, and bigger changes that Facebook is making in terms of how it works with third - party apps that link into the Facebook platform (which CEO Mark Zuckberg announced last week)-- will hopefully lead to more meaningful changes on that front.

His plans did not represent a big reduction of advertisers» ability to use Facebook data, which is the company's lifeblood.

This thermos has the biggest memory data; it can store up 32 reading, which can be quite impressive if you need to keep track of your child's bodily temp.If you are looking for a simple baby thermometer to use, this is probably one of the best purchase you will ever make.

«Not only did the Attorney General spearhead the biggest overhaul of our non-profit laws in over 40 years, which enhanced the office's ability to conduct oversight and compliance monitoring of the state's nonprofit sector, the Charities Bureau uses data and analytic techniques in support of its regulatory and enforcement actions,» spokesperson Doug Cohen said in an email.

The cameras proved a source of even more data used to develop more tools such as face recognition, which would in turn keep us buying Big Tech's products.

As the use of big data becomes increasingly effective and popular, more universities are forming groups and subgroups that focus on big data problem solving, which in turn is spurring the creation of new employment opportunities for scientists with expertise in this arena.

This date is 140 million years later than the previous best estimate of 420 million years post — big bang, which came in 2006 using CMB data from the Wilkinson Microwave Anisotropy Probe (WMAP).

«To really be involved in big data you need a multiple skill set, including an understanding of optimization theory and of algorithms similar to those used in facial recognition to find [relevant] patterns by knowing which data to extract.»

Using archival data from the Sloan Digital Sky Survey, and the XMM - Newton and Chandra X-ray telescopes, a team of astronomers have discovered a gigantic black hole, which is probably destroying and devouring a big star in its vicinity.

«There's the whole of Africa, a big chunk of Asia and South America, all of which could use this data.»

Data came from TwinsUK — the biggest UK adult twin registry of 12,000 twins which is used to study the genetic and environmental causes of age related disease.

Results of this trial is a big deal, because it is a pivotal trial, data from which will be used for BLA submission to FDA and market approval.

Using big data from social media to carry out public health surveillance raises some clear ethical issues, very few of which are anywhere close to resolution.

The plus of matchmaking agencies is personal service and small data bank of the women which means to me, the chance of getting scammed by using these services is less than by using big dating sites.

Both businesses and employees benefit when Big Data is used to create effective courses that ensure thorough understanding of the subject matter which can be combined with hands - on practice.

In addition, a national or regional network could develop and use a universal enterprise resource planning (ERP) system, which would offer cost savings, operational efficiencies, and the power of big data for analytics to the institutions and convenience and improved services for students.

It doesn't even stand up to the brief on overuse of suspensions in Big Apple schools released today by Center for American Progress, which uses objective data to look at the number of days children lose when they are kept out of school

This finding, which challenges long - term assumptions about college drop - outs, was only possible because of a research project using Big Data analysis.

Random House has countered this claim saying, «Our publishing house, which is the only one of the Big Six to make its ebooks available without restriction for library lending, is setting the library ebook price with «far less definitive, encompassing circulation data» than the sell - through information used to determine retail pricing.»

Applebaum said that the publishing house, which is the only one of the Big Six to make its ebooks available without restriction for library lending, is setting the library ebook price with «far less definitive, encompassing circulation data» than the sell - through information used to determine retail pricing.

«There's an unfairness to this, which can be reduced with the use of alternative credit scoring, and today's Big Data solutions make the data needed to create this scoring readily available.&raData solutions make the data needed to create this scoring readily available.&radata needed to create this scoring readily available.»

February 27, 2015 - We are happy to announce the release of this new product which uses Big Data and Sentiment Analysis to transform guest reviews into highly relevant, auto - generated content for travel websites...

I probably need the Complete Idiot's Guide, but what I get out of this is, using the mean of the whole data set (if it does have an actual hocky stick shape) as zero creates a higher horizontal line from which all the data vary in various amounts & it tends to «pull up» the negative differences & makes the positive differences look not so big (or it makes all the data look on average equally large in distance from the mean, both in pos & neg directions), making the whole thing look like nothing much is happening, aside from cyclical changes.

For BNO (S) alone in its last quarter cycle 2000 - 14 (for which we have the best data OHC) the ΔOHC 0 - 2000m record is 4x larger and of opposite sign (contradicting the assumption of BNO = AGW by suggesting AGW is 5x bigger in magnitude than BNO (S) for this period if BNO (S) did exist using 0 - 2000m ocean storage).

He leads the firm's Big Data Initiative, which aims to use data to help clients make employment decisions and reduce the risk of legal dispuData Initiative, which aims to use data to help clients make employment decisions and reduce the risk of legal dispudata to help clients make employment decisions and reduce the risk of legal disputes.

For a long time we didn't have a CRM at all, everything was in a Google sheet and it was a nightmare and that made a big difference just switching from dumping all of our data input into a CRM which, if people aren't using some kind of form of that, I definitely encourage them to check out anything.

Everything was in a Google sheet and it was a nightmare and that made a big difference, just switching from dumping all of our data input into a CRM which, if people are using some format, that I definitely encourage them to check out anything whether or not it's Lexicata, which I think is geared toward lawyers.

Although they did not use current terms of art, they were in fact referring to cutting edge technology called «Big Data,» which is an algorithmic process of collecting and analyzing massive data sets for the purpose of discovering associations, spotting trends, and predicting outcoData,» which is an algorithmic process of collecting and analyzing massive data sets for the purpose of discovering associations, spotting trends, and predicting outcodata sets for the purpose of discovering associations, spotting trends, and predicting outcomes.

We've been pioneering the use of big data and digital advertising in the industry, which is exhilarating.

If you haven't heard yet, Equifax, one of the big three companies that you'd use to get your credit score, had a monster data breach which basically made 143 million american's credit reports and information available.

Allegations of the improper use of data for 87 million Facebook users by Cambridge Analytica, which was hired by President Donald Trump's 2016 US election campaign, has hurt the shares of the world's biggest social network and prompted multiple official investigations in the United States and Europe.

That in itself — combined with more scrutiny from regulators over how data is collected, used, and shared, and bigger changes that Facebook is making in terms of how it works with third - party apps that link into the Facebook platform (which CEO Mark Zuckberg announced last week)-- will hopefully lead to more meaningful changes on that front.

Siri's biggest improvement in watchOS 4 doesn't actually have to do with the traditional Siri voice interface at all: It's a new, text - based Siri «intelligent» watch face, which uses all of Siri's data detectors and other machine learning goodies to help you throughout your day.

Its CEO, Alexander Nix, claims in a presentation entitled «The Power of Big Data and Psychographics» (which can be found on Youtube5) that Cambridge Analytica has used OCEAN personality tests in combination with data mined from social media to produce «psychographic profiles» — models that predict personality traits — for every adult in AmerData and Psychographics» (which can be found on Youtube5) that Cambridge Analytica has used OCEAN personality tests in combination with data mined from social media to produce «psychographic profiles» — models that predict personality traits — for every adult in Amerdata mined from social media to produce «psychographic profiles» — models that predict personality traits — for every adult in America.

BUY&SELL is a classified of a new generation which is based on the blockchains and uses some advanced IT achievements such as an artificial intelligence and Big Data technologies.

Data showed that a big portion of those buying the SE were new to Apple, which implies that the SE was successful in dragging in users who were previously using cheaper Android devices, or no smartphone at all.

Video streaming is one of the biggest data use cases for large US carriers, and throttling or quality - limiting this activity has been a tradition among wireless carriers even before the unlimited plan renaissance of 2016, with T - Mobile pioneering the movement by way of its BingeOn service which zero - rated video in exchange for throttling it down to 480p quality.

A challenging position for development projects in the field of Big data infrastructure & ETL pipelines, Machine Learning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensorflodata infrastructure & ETL pipelines, Machine Learning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, TensorfloData mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensorflow...

The sites are using automated price valuation models using big data, which fulfils the consumers need to have an immediate response at any time of the day.

«There's an unfairness to this, which can be reduced with the use of alternative credit scoring, and today's big data solutions make the data needed to create this scoring readily available.»