Posts Tagged

Google

TensorFlow graph neural networks (GNN)
Machine LearningArtificial IntelligenceContributorsFeatured

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph-structured data using TensorFlow, its machine learning framework. Used in production at Google for spam and anomaly detection, traffic estimation, and YouTube content labeling, Google says that TF-GNN is designed to “encourage

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Digital identity
Technology & ITContributorsFeaturedMarketing & SalesRetail & Consumer

As consumers across the globe become increasingly aware of their digital identity and personal data rights and further regulations take hold, it’s unsurprising that Google has announced it will not be replacing third-party cookies with identifiers and email addresses. Advertisers now need to look for new ways to engage valuable

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Big DataData ScienceData Science 101FeaturedNewsProfessional ServicesTech TrendsTechnology & IT

If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for

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Artificial IntelligenceBig DataData NativesData ScienceEventsFeaturedTech Trends

How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world

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Data Science

Dimensionality reduction as means of feature extraction Feature extraction is a very broad and essential area of data science. It’s goal is to take out salient and informative features from input data, so that they can be used further in predictive algorithms. Modern data scientists observe large amounts of data,

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Big DataTransportation & Logistics

Google may be the first name associated with driverless cars, but they’re not the only ones interested in the technology. More importantly, it seems people have wildly different opinions on exactly how the story will play out. How much data will these cars produce? What kind of legal quandaries will

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Data Science 101Machine Learning

Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube

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Data ScienceEventsNews

Data Natives, a first-of-its-kind conference for the data-driven generation, is set to bring together the brightest minds in data science and related technologies for a 2-day event in Berlin November 19-20. What’s on the agenda Data Natives features a packed agenda designed for those looking to push the boundaries of

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Internet of ThingsTechnology & IT

Introduction It wasn’t that long ago that the idea of a network-connected device that fit in your pocket was novel and futuristic. Things change quickly, however, and today’s IT professional not only has to assume that every user is connected in real-time, but be prepared for every electronic device to

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News

Research and Markets recently published their report on the Global HDaaS (Hadoop-as-a-Service) Market 2015-2019. They market, they believe will continue to grow at a CAGR of 84.81 percent over the period 2015-2019. Although many have been quick to claim the death of “big data” and the demise of Hadoop, adoption continues to

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