WebI have a good grip on Java Backend Development including Spring frameworks, Relational (SQL and Postgres) and Non-Relational (MongoDB), Git and Github, Dockers, Jenkins, and other CI/CD components. You can also trust me on a variety of other Techstacks including System Designing, Networking, Embedded Systems, etc. Learn more about Rishabh … WebDec 30, 2015 · Experience with AWS, Linux, Windows, Networking, SAP, Databases (relational and non-relational), Embedded Systems, Internet of Things (IoT), Application Performance Management (APM).
Beyond Similarity: Relation Embedding with Dual Attentions for …
WebMar 1, 2024 · For the former I am interested in how place is a form of capital and asset. For networks my approach is to understand how consumption and production is embedded in social relationships, using predominantly a social network analysis methodology to explore relational and interactional dynamics. Webنبذة عني. • Hands-on experiences in Knowledge graph for entity linking, relation construction and inference, enriched by open-sourced ontology and data for knowledge expansion. • > 8 years of experiences of deep learning, convolutional neural network (CNN), recurrent neural network (RNN), long short term memory (LSTM) o Developed a ... mary ann school madurai
Luzia Heu - Assistant Professor Interdisciplinary Social Science ...
WebJan 27, 2024 · The recent success of neural networks has boosted research on pattern recognition and data mining. Machine learning tasks, like object detection, machine translation, and speech recognition, have been given new life with end-to-end deep learning paradigms like CNN, RNN, or autoencoders. Deep Learning is good at capturing hidden … WebMay 14, 2024 · • Proficient in Deep NLP, knowledge graph, NER, entity linking, relation extraction, information retrieval • Proficient in Deep NLP based domain specific Chat-bots, Intent classification , Text classifications, NER, Similarity Search and Feature Search. • Proficient in network analysis, Pagerank, community detection, graph embedding Webworks, network embedding, i.e. network repre-sentation learning has been proposed as a critical technique for network analysis tasks. In recent years, there have been a large num … huntington west branch mi