Nicolas PogeantHow to build a functional ML SystemFrom a Streamlit based recommender system to a way more flexible one using various MLOps tools for the stackApr 8Apr 8
Nicolas PogeantEraser — Make ML System Design at Another LevelFrom a Document Design to ProductionMar 8Mar 8
Nicolas PogeantHow SageMaker Improve Productivity — An AWS PipelineUnraveling the Essence of Compute Resources in the Creation of an End-to-End ML PipelineNov 28, 2023Nov 28, 2023
Nicolas PogeantBuilding a Scalable MLOps Stack — From Data to DeploymentThis article explores the development of a streamlined ML system, showcasing the journey from data to deployment, simplifying complex…Sep 8, 2023Sep 8, 2023
Nicolas PogeantSequential RecSys — Your Interactions MatterA dive into systems that try to perfect your actionJul 24, 2023Jul 24, 2023
Nicolas PogeantMetaflow — The Key Framework for your Machine Learning SystemIn the fast-paced world of data science, where agility and efficiency are paramount, Metaflow emerges as a game-changing framework that…Jul 16, 2023Jul 16, 2023
Nicolas PogeantWandB — The Best MLOps PlatformGetting Started with Weight & Biases: A Mini Project Overview.Mar 28, 2023Mar 28, 2023
Nicolas PogeantBuild a Career in Data Science — A ReviewA must-read for anyone considering a career in data scienceMar 17, 2023Mar 17, 2023
Nicolas PogeantOCTIS — The Future of Topic ModelingIn this blog post, I will introduce a framework that changes the way topic modeling is performed, whatever the algorithm used to obtain…Mar 7, 20232Mar 7, 20232
Nicolas PogeantText Preprocessing Pipeline — Build You OwnThis blog post is more like a practice demonstration in order to list the most important steps and elements to build a effecient natural…Feb 22, 2023Feb 22, 2023
