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

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US