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Google adds new data analytics and database offerings | ZDNet

Google adds new data analytics and database offerings For the first time, Google is directly integrating its advertising services with the Google Cloud Platform. Google on Thursday rolled out new data analytics and database products, allowing Cloud customers to better manage and more fully exploit their data.First, the company is introducing a new data transfer service for BigQuery, its data analysis servic ...

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Using Apache Spark for large-scale language model training | Engineering Blog | Facebook Code

Processing large-scale data is at the heart of what the data infrastructure group does at Facebook. Over the years we have seen tremendous growth in our analytics needs, and to satisfy those needs we either have to design and build a new system or adopt an existing open source solution and improve it so it works at our scale. For some of our batch-processing use cases we decided to use Apache Spark, a fast- ...

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Announcing real-time Geospatial Analytics in Azure Stream Analytics | Blog | Microsoft Azure

We recently announced the general availability of Geospatial Functions in Azure Stream Analytics to enable real-time analytics on streaming geospatial data. This will make it possible to realize scenarios such as fleet monitoring, asset tracking, geofencing, phone tracking across cell sites, connected manufacturing, ridesharing solutions, etc. with production grade quality with a few lines of code. The conn ...

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Solar, wind, storage and big data: Why energy may soon be free : Renew Economy

Solar, wind, storage and big data: Why energy may soon be free By Giles Parkinson on 1 August 2016 Global investment bank Citi is predicting that the combination of near zero-variable cost energy sources such as solar and wind, along with smart analytics and “big data”, may deliver what the nuclear industry promised nearly half a century ago – free energy. “The notion of free energy came to prominence in th ...

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Review: The best frameworks for machine learning and deep learning | InfoWorld

Over the past year I've reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and TensorFlow. If I had cast my net even wider, I might well have covered a few other popular frameworks, including Theano (a 10-year-old Python deep learning and machine learning framework), Keras (a deep learning fro ...

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Stacking up the cloud vendors: AWS vs. Microsoft Azure, IBM, Google, Oracle

It's not easy tracking the girth of public cloud providers amid run rates, as-a-service sales projections, and a lack of transparency. Here's how AWS stacks up against Microsoft Azure, IBM, Google, and Oracle. Amazon Web Services continues to lead the cloud pack as it delivered a 2016 operating profit of $3.1 billion on revenue of $12.22 billion, up from $7.88 billion in 2015. While analysts will fret about ...

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Essential Differences between Deep Learning and Conventional Neural Network 

There has been a resurgence in interest in Neural Network since 2006, because of some breakthroughs known collectively as Deep Learning. A Deep Learning based solution uses deep neural network with multiple hidden layers. However, the learning techniques are different from conventional neural networks. Key Differences Conventional Neural Network A conventional neural network, uses back propagation of error ...

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4 challenges Artificial Intelligence must address

4 challenges Artificial Intelligence must address If news, polls and investment figures are any indication, Artificial Intelligence and Machine Learning will soon become an inherent part of everything we do in our daily lives. Backing up the argument are a slew of innovations and breakthroughs that have brought the power and efficiency of AI into various fields including medicine, shopping, finance, news, f ...

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Stop overdoing it when cleaning your big data – TechRepublic

Stop overdoing it when cleaning your big dataEnough is enough--your big data might actually be getting too clean. Find out why it can be useful to keep bad, garbage data.When you got a job as a data scientist, I bet you didn't imagine you'd spend so much time cleaning up bad data. Don't feel badly—none of us did.When data science rolled on the scene, many of us who were already in the data warehousing and b ...

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How FICO scores big with cloud-based collaboration and data solutions – Microsoft Enterprise

Data rules everything around us. From traffic lights to medical records, those ones and zeros quickly dictate everything from the ads we see to the music we hear. As more and more organizations adopt big data strategies, we as consumers see exciting new innovations and solutions that leverage these possibilities. Smart phones, driver-less cars—this wave of data analytics brings the future to life in excitin ...

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