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www.univention.com
| | channellife.com.au
12.1 parsecs away

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| | Etisalat by e& plans to standardise on Red Hat technologies for its network and IT, aiming for greater efficiency and innovation.
| | simpleprogrammer.com
11.9 parsecs away

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| | A detailed comparison of Node.JS vs ASP.NET with an overview, pros & cons of both the languages and key differences
| | www.qburst.com
12.7 parsecs away

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| | Protect your data and reputation. Partner with QBurst security team to implement hardening and risk control measures. Ensure application reliability and uninterrupted service with layered defense. Perform security audit. Strengthen your security posture.
| | blog.kubernetes.io
53.2 parsecs away

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| In 2011, Google developed an internal deep learning infrastructure called DistBelief, which allowed Googlers to build ever larger neural networks and scale training to thousands of cores. Late last year, Google introduced TensorFlow, its second-generation machine learning system. TensorFlow is general, flexible, portable, easy-to-use and, most importantly, developed with the open source community. The process of introducing machine learning into your product involves creating and training a model on your dataset, and then pushing the model to production to serve requests.