 | | Word of the Day |  | | Daily updates on the latest technology terms | July 9, 2020 | | | TensorFlow | | TensorFlow is an open source framework developed by researchers at Google to run machine learning, deep learning and other statistical and predictive analytics workloads. The platform is designed to streamline the process of developing and executing advanced analytics applications used by data scientists, statisticians and predictive modelers. The TensorFlow software handles data sets that are arrayed as computational nodes in graph form. The edges that connect the nodes in a graph can represent multidimensional vectors or matrices, creating what are known as tensors. TensorFlow applications can run on either conventional CPUs or higher-performance graphics processing units (GPUs), as well as Google's own tensor processing units (TPUs), which are custom devices expressly designed to speed up TensorFlow jobs. Google released TensorFlow as an open source technology in 2015 under an Apache 2.0 license. Since then, the framework has gained a variety of adherents beyond Google. For example, TensorFlow tooling is supported as add-on modules to machine learning and AI development suites from Tier 1 vendors such as IBM and Microsoft. Continue reading about TensorFlow... | |  | "Initially, public clouds were built on generic hardware to cut costs and operate at massive scale -- but that's changing...Amazon already owns a small chip manufacturer, while Google has its Tensor Processing Units (TPUs). " -
George Lawton
| Related Terms You Should Know
Amazon S3
Most of the frameworks that drive AI and machine learning workloads, including TensorFlow, use the Amazon S3 protocol when communicating with storage.
AWS
AWS is a towering presence in the global machine learning market. According to Amazon's internal research data, about 80% of TensorFlow projects are deployed on AWS.
skills gap
The most sought-after skill in data-reliant technologies in 2019 was in programming language R, followed by skills in Microsoft SQL, MATLAB, Google Analytics and TensorFlow. graph database Adobe's Customer Journey Analytics pairs a graph database with analytics to solve the problem of identity resolution in the case of multiple customer journey touchpoints. Thank you for reading! For feedback about any of our definitions or to suggest a new definition (or learning resource) please contact us at: editor@whatIs.com | | FOLLOW US |   | About This E-Newsletter
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