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Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

Machine Learning Courses E-commerce Courses MLOps Courses Real-Time Systems Courses Recommendation Systems Courses Scalability Courses Batch Processing Courses

Course Description

Overview

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Explore the journey of implementing real-time machine learning at Instacart in this 39-minute conference talk from MLOps World: Machine Learning in Production. Discover how Instacart leverages machine learning to enhance the experience for customers, shoppers, retailers, and brand partners in their four-sided marketplace. Learn about the transition from batch-oriented ML systems to real-time solutions, and gain insights into the ML platform's fundamental infrastructure and key use cases. Examine the main challenges faced, critical decisions made, and valuable lessons learned during this transformation. Benefit from the experience shared by Guanghua Shu, Staff Machine Learning Engineer at Instacart, to apply these insights to your own real-time machine learning initiatives.

Syllabus

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart


Taught by

MLOps World: Machine Learning in Production

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