March 7, 2024, 6:32 p.m. | Kaggle

Kaggle www.youtube.com

About the project: In this project I built and deployed a book recommender system. The goal of this project was to build a general understanding of the tools and processes used to produce machine learning models. I explored both serving and scaling a prediction service, as well as creating a pipeline for continuous training. I focused on understanding the MLOps lifecycle as well as maturity levels, and experimented with tools like Tensorflow for the different steps.

About Eva Revear: A …

book build general kaggle machine machine learning machine learning models pipeline prediction presentation processes project scaling service tools understanding

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne