Big Data Optimization


The term Big Data is here: information of immense sizes is getting to be universal. With this, there is a need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting, informal organization science and computational science are some of the meager clear #application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. The #long-established advance calculations are not intended to scale to occasions of this size, new methodologies are required.



 


  • Optimization of big data in mobile networks
  • Computational problems in magnetic resonance imaging

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