Feature Stores constitute one of the principal frameworks in data injestion, pipeline creation, training, deploying and serving ML models in offline and online predictive systems.
Close
bigdata
Inverted Indexing and Scalable Search techniques Motivation The amount of data is growing exponentially every day and the volume has increased incredibly over the last few years. With this accelerated growth of data, it has now become important to search collections quickly to serve business decisions and customer queries both offline and online. To process large document collections quickly, at the order of billions to trillions of word per second, the search concept of inverted […]
April 27, 2020
Traditional vs Deep Learning Algorithms in the Telecom Industry — Cloud Architecture and Algorithm Categorization
Google Cloud Architecture for Machine Learning Algorithms in the Telecom Industry Introduction The unprecedented growth of mobile devices, applications and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research and development of 5G systems have found ways to support mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Moreover inference from heterogeneous mobile data from distributed devices experiences challenges due to […]
