MLOps pipeline
An MLOps pipeline automates the entire machine learning lifecycle, from data preprocessing to model deployment and monitoring, ensuring efficiency and consistency in production. It supports continuous integration and deployment (CI/CD), enabling rapid updates and scaling of models. This pipeline also fosters collaboration between teams by standardizing workflows and providing robust monitoring to maintain model performance over time.
Mohamed Ali Hadj Taieb
Assistant professor
My research interests include semantic similarity, semantic relatedness, knowledge representation, Big Data, social media, data management systems and graph embedding.
Mohamed Ben Aouicha
Professor
My research interests concern information retrieval, semantic technologies, social media analytics, knowledge representation, Big Data and graph embedding.