The Evolution of Lyft's ML Feature Store
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore the evolution of Lyft's machine learning feature store in this 13-minute conference talk presented by Devon Mittow, a Staff Data Engineer with over a decade of experience in data engineering across various industries. Gain insights into how Lyft's ML feature store has adapted and grown alongside the company's business needs. Learn about the challenges and solutions encountered in developing and maintaining a robust feature store for a major transportation platform. Discover key takeaways that can be applied to other data engineering and machine learning projects in various industries.
Syllabus
The Evolution of Lyft's Feature Store // Devon Mittow // DE4AI
Taught by
MLOps.community
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera