Sentences with phrase «learning data into»

Not exact matches

Math education software DreamBox provides educators with recordings and data into how students are learning and progressing so that educators can focus on the areas where their classrooms need the most help.

Can you take data and numbers and turn them into actual stories and learnings of what's going on with a business?

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.

With the importance of tracking and incorporating data into your marketing strategy, there has never been a better time to learn all you can about one of the most data - rich resources in the world.

Companies like Google, Facebook (fb), and IBM (ibm) are investing millions of dollars in AI - related technologies like deep learning that have made it possible for computers to more quickly perform data - heavy tasks like translating text into multiple languages.

When I have a spare few minutes during my day, I tend to spend it looking into analytics, and it's truly amazing what you can learn by taking a quick peek at your social data.

Learning to translate that data into actionable information for driving future customer engagement could prove to be a significant asset.

LeadCrunch's DeepFind machine learning platform collects proprietary data as it searches for key patterns that can help your sales team turn a lead into a paying customers.

With a trillion gigabytes of patient data collected from devices, EHRs, labs, and DNA sequencing, alongside surrounding factors such as weather, geo - location, and viral outbursts taken into account, computers learn quickly, and they learn everything.

With deep learning, organizations can feed enormous quantities of data into so - called neural nets designed to loosely mimic the way the human brain understands information.

Once these data points are collected, Peach feeds them into a predictive machine - learning algorithm to determine the appropriate bra size.

From my research deep into the minds of consumers, there are four major lessons the NSA can learn from industry leaders and innovators in the area of data collection and use.

And Nvidia is still dominating selling graphics chips into the booming market in cloud data centers that run machine learning and artificial intelligence tasks.

With deep learning, researchers can feed huge amounts of data into software systems called neural nets that learn to recognize patterns within the vast information faster than humans.

Many business owners were particularly disturbed to learn that the NSA had reportedly managed to break into the main communications links to Yahoo and Google data centers.

«It's bleeding edge, A.I. and machine learning and analytics and data scientists, and all of it wraps into this one space with lots of buzzwords, which leads to lots of ambiguity.»

During this webinar you'll learn how to: * Boost engagement with real - time, location - based consumer engagement and experiences * Gain insight into the behavioral patterns of customers and prospects * Understand the future of location data for your business Speakers: * David Bairstow, VP Products, Skyhook * Jay Graves, CTO at Possible Mobile * Stewart Rogers, Analyst at Large, VentureBeat (Moderator) Sponsored by Skyhook Sponsored by Skyhook

Learn how the data in your system turns into verified data and intelligence through the process of human - verification.

This is the latest installment of our «Data» series, where we dig into the numbers to learn more about how the world of money works.

The three discuss new Ag Tech applications, approaches to big data, supply chain transparency, and other hot topics of interest to anyone looking to break into the space — or consumers who are interested in learning where their food comes from and what to expect in the future.

The sale of nearly $ 2 million in corporate stock by high - level Equifax executives shortly after the company learned of a major data breach has sparked public outrage that could turn into another hurdle for the credit rating agency.

You start out with planning and developing, then quickly move into a stage where you are analyzing data to inform your continuous learning.

But in order to make sure you don't go into a cardiac arrest from the information overflow, you need to learn how to filter all of this data.

Financial professionals on the buy - side and sell - side use Dataminr to learn about market - moving events earlier and discover trading signals and alternative data that can be transformed into sharper insights, better opportunities, and more profitable decisions.

With the «Loyalty Prediction» tool, Facebook is not only curating thousands of data points across its user base to serve up ad audiences, its feeding those data points into a machine learning system that will anticipate what the next data point will be — a stark difference from simply collecting user data.

By abandoning traditional models and processes and allowing augmented human intelligence through our patented machine learning, Stratifyd has enabled our customers to turn their unstructured and unused data into revenue opportunities.

While atheists are backed into saying the universe is either eternal or uncaused (both totally unsupported by the scientific data we've observed and learned to date), and they trumpet the science card.

They must learn to accept a communication process in which the laity actively feed into the preaching of the gospel the data and insights of their lives so that the contemporary and the traditional heritage will meet.

Hegel and the Right Hegelians had conceived and attempted such a project — to learn the ultimate, divinely sanctioned reasons why one religious stage passes over into another — but that movement, plagued from the start by bad anthropological data, died out in the mid-nineteenth century, and only recently has been revived.

You can learn more about how their model works by visiting their site, but I wanted to interpret that data into the betting terms that we are familiar with.

Learn how to gather, analyze, and compile breakfast data into a report that can be used to draw attention to areas of your state that could reach more low - income students with the School Breakfast Program.

Then, this data is fed into an algorithm that «learns» what is a positive and what is a negative text, and finally, that algorithm is applied to the whole dataset.

That first piece is a great example of what you can learn from her coverage, since it goes into more detail about how Democrats have structured their national data operation than any article I've seen.

A data firm backed by some of Donald Trump's closest allies is now facing scrutiny as part of an investigation into possible collusion between the president's team and Russian operatives, The Daily Beast has learned.

From this base, visit Okinawa Institute of Science and Technology campus to meet with local researchers and academics to learn about coral restoration, trap insects and input data into a research project and visit the «sustainable homes» development project — a blueprint for sustainable living.

The researchers fed the data from the scans into a machine - learning computer program, which eventually could identify which concept a volunteer was thinking about based on his or her brain activity.

To young researchers looking to move into data - driven science, Wilson offers this advice: Choose data - intensive projects, remain unfazed, and learn strategies for managing the volume of data.

The researchers fed the participants» fMRI data and symptom scores into a computer and then used machine learning to determine which people would respond.

Because this is the first study to take into account both so - called environmental DNA (eDNA) as well as more traditional types of data, he says, «we stand to learn a good deal more about how to interpret our records.»

«It does yield great data, but it also gets lots of people looking into and learning about the natural world.»

Together they are being used to peer into the microenvironment of tumors and other tissues while learning about the co-registration of multiple lines of imaging data.

After a successful interview, Phil started work as one of 10 new employees who were split into two groups, half being trained in the «front end» process — the actual extraction of the DNA from biological samples in the laboratories — and half learning the «back end» — computer analysis of the data.

Presenting data in a clear and accurate manner and putting them into context require skills you can only learn from experience — or from people with experience.

Delving further into the data, the researchers learned that the more time young people reported spending online, the less sleep they got.

Using an unsupervised learning algorithm, the team was able to convert the T - cell receptor sequencing data into numeric distances based on similarities in the receptor sequences and cluster them by functional specificity.

A team of researchers from the Smithsonian Department of Botany, Data Science Lab, and Digitization Program Office recently collaborated with NVIDIA to carry out a pilot project using deep learning approaches to dig into digitized herbarium specimens.

The practice of science, which includes the packaging of findings from science for use in the public - policy arena, is governed by an unwritten code of conduct that includes such elements as mastering the relevant fundamental concepts before venturing into print in the professional or public arena, learning and observing proper practices for presenting ranges of respectable opinion and uncertainty, avoiding the selection of data to fit pre-conceived conclusions, reading the references one cites and representing their content accurately and fairly, and acknowledging and correcting the errors that have crept into ones work (some of which are, of course, inevitable) after they are discovered by oneself or by others.

The NPV model enables users to translate a machine learning - based predictive model's performance over time from traditional empirical measures into dollar values by combining machine learning, data acquisition, operational costs, and investment parameters.

Scientists have learned that the brain undergoes structural changes as it absorbs sensory data, learns and adapts, but the actual mechanism of this process is just now coming into view.

To help students and teachers learn about the app, Science Buddies has integrated the Science Journal app into student science projects that involve sensor - based data.