Sentences with phrase «of these big data sets»

«There may potentially be huge pockets of people who could be even better individuals for a position that end up being excluded because they aren't part of a bigger data set,» he said.

The international GIANT consortium is already reaping the benefits of big data sets with papers on new variants linked to BMI and a companion paper in today's Nature on waist - to - hip circumference ratio.

Making sense of big data sets with multiple variables is a classic challenge for the field of machine learning.

Through detailed statistical analyses of these big data sets, researchers can identify positions in the DNA sequences that vary between pathogens.

Not exact matches

Aaron in for Adam today, contemplating some of the small data in a big data set.

More hackers realize there's big money in taking over the computers of firms and demanding cash to set the data free.

A pioneer in this area is a Silicon Valley - based startup named Ayasdi, which has developed an entire subfield of mathematics — topological data analysis — that renders any Big Data set as a network derived from hidden pattedata analysis — that renders any Big Data set as a network derived from hidden patteData set as a network derived from hidden patterns.

Just a week before the NFL was set to stage the biggest sporting event of the year, the league released its latest concussion data: incidence rose 58 % during the regular season.

Meanwhile there's a big demand for products that can analyze large sets of data, with more than half of all business leaders saying data analysis is critical to their success, according to a recent report from Boston University.

The three things that occurred in rapid - fire succession were: (1) popularization of Apache Hadoop, (2) Big Data became a reality enabling the processing of real - time data sets and (3) in 2014 the Internet of Things took Data became a reality enabling the processing of real - time data sets and (3) in 2014 the Internet of Things took data sets and (3) in 2014 the Internet of Things took off.

Its business is also hard to understand — creating software that can crunch big, unstructured sets of data to find meaningful patterns.

Retailers use Big Data to present a personalized set of products to their customers — it's been a driving force behind Amazon's success.

To get into a few specifics, pre-ticked boxes — which is essentially what Facebook is deploying here, with a big blue «accept and continue» button designed to grab your attention as it's juxtaposed against an anemic «manage data settings» option (which if you even manage to see it and read it sounds like a lot of tedious hard work)-- aren't going to constitute valid consent under GDPR.

Despite being just 7 months old, the firm's already made several investments in early stage Big Data focused startups across a variety of verticals with the belief that extracted information from unexplored data sets has the power to transform entire industrData focused startups across a variety of verticals with the belief that extracted information from unexplored data sets has the power to transform entire industrdata sets has the power to transform entire industries.

«Education, healthcare, and nonprofit organizations need Big Data and cognitive computing to pull together the enormous sets of data created by the many relationships they rely on and to transform that data into actionable insights.&raData and cognitive computing to pull together the enormous sets of data created by the many relationships they rely on and to transform that data into actionable insights.&radata created by the many relationships they rely on and to transform that data into actionable insights.&radata into actionable insights.»

LONDON (Reuters)- World stocks were set for their biggest weekly loss since the middle of March on Friday, while the dollar hovered near highs hit on its recent rally as investors awaited jobs data from the United States.

TORONTO, May 11, 2017 - Canada's innovators and technology startups are set to play an increasingly important role in the future of Canada's economic prosperity as emerging technology such as artificial intelligence, machine learning and big data transform the global economy.

Again, terribly small data set, but here is the English Premier League compared to English League One, which averages almost 20 % of the «big boys» weekly attendance:

The major airline carriers are plotting to collect the personal data of every passenger and use it to set personalized prices that could mean big increases for some and discount coupons for others, U.S. Senate Minority Leader Chuck Schumer said.

Big data is not simply research that uses a large set of observations.

Technology helps, in big ways and little: grassroots data tools like the VAN let organizers get moving as soon as they hit the ground, and even something as simple as VOIP and cell phones take away some of the logistical hassle of setting up field offices.

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«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.»

«It's a big, messy data set with lots of differing skills among observers, but it's good for identifying outliers,» he says.

More broadly, Zweben says the trend toward using «big data» techniques to fish for novel correlations and patterns in enormous data sets is driving hiring of computer scientists in many fields.

They will know that compound X inhibits kinases A, B and C, but compound Z inhibits kinases D and E. With such a big data set people can easily find compounds of particular interest to them and know that the compounds are annotated with near full - kinome inhibition data.»

«In the era of big data, the most reasonable thing to do would be to set up a corpus with a large amount of data,» modeled on the platforms that provide online services, said Paoloni.

«So if we have a big data set — a big pool of people that's varied — then that allows us to really map out not only the genome of one person, but now we can start seeing connections and patterns and correlations that helps us refine exactly what it is that we're trying to do with respect to treatment,» the president explained in his 20 - minute speech, flanked by a red - and - blue model of the DNA double helix.

For the first time, these big data sets give us both a broad and exceptionally detailed picture of both biochemical activity along the genome and how DNA sequences have changed over time.»

Hare said these kinds of findings are only possible with the big data sets that citizen scientists are able to generate.

But that assumption breaks down in the age of big data, now that computer programs more frequently act on just a few data items scattered arbitrarily across huge data sets.

Maybe a few more decades of better sensors, faster processors, bigger data sets and experimentation will finally bring us relief from continuous RFHS.

The reason that today's big data sets pose problems for existing memory management techniques, explains Saman Amarasinghe, a professor of electrical engineering and computer science, is not so much that they are large as that they are what computer scientists call «sparse.»

MIT researchers aim to take the human element out of big - data analysis, with a new system that not only searches for patterns but designs the feature set, too.

«Some people feel very strongly about big data sets — almost to the point of fanatic refusal to accept results from large - scale analysis.»

In his closing remarks, BTI President David Stern noted the high quality of the research projects and the large number of posters and talks describing research that used Big Data — large and complex data sets that require computer programs to fully analData — large and complex data sets that require computer programs to fully analdata sets that require computer programs to fully analyze.

Studying biology from big and complex data sets requires deep understanding of the properties and biases of the data, and sophisticated methods for extracting biologically meaningful information.

«This is new, as previous studies had generally found the dates of origination to be older and not clustered in time — the current study uses a much bigger genetic data set than any of the earlier ones.»

The ability to integrate, standardize, and turn the various sets of «big data» into «smart data» is key to producing scientific insights.

Navigating the path to precision medicine is quickly becoming a «big data» problem, necessitating the harmonization of disparate healthcare, biomarker, clinical research, and real world evidence data sets.

While the National Student Clearinghouse is now tracking a giant data set of 3.5 million high school graduates from 2010 to 2013, a big shortcoming is that the data isn't a nationally representative sample.

Setting students loose on these types of experiences develops systems thinking skills, computational expertise with big - data, and multiple approaches to complexity.

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.

Howey has published an expanded version, with a far bigger data set, and here is a post on it by Mark Coker of Smashwords.

Statistical simulation is significant when dealing with big sets of data that need to be summarized into reduced parameters.

Combining the two sets of data together, we get to see the bigger picture how self - publishers have performed in the previous year.

There is a separate update appended to the report relative to the total 157,000 Big Five titles of the newly broadened data set and what Data Guy has stressed could be a negative effect from pricing patterns on debut authdata set and what Data Guy has stressed could be a negative effect from pricing patterns on debut authData Guy has stressed could be a negative effect from pricing patterns on debut authors.

We have conducted a couple of surveys around lost pets and have also dug into a set of shelter data for the past couple of years, and with those data sets we simply do not see strong evidence that the Fourth of July is the biggest day for pet loss.

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.