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Systematic Approaches and Creativity - Building DoorDash's ML Platform During the Pandemic

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

Tags

MLOps Courses Data Science Courses Big Data Courses Machine Learning Courses Logistics Courses Pandemic Courses Apache Spark Courses Forecasting Courses

Course Description

Overview

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Explore the journey of building DoorDash's machine learning platform during the pandemic in this 36-minute conference talk from MLOps World: Machine Learning in Production. Learn how senior engineering manager Hien Luu and senior data scientist Dawn Lu tackled the challenge of establishing a centralized ML platform to accelerate development and power numerous use cases. Discover their systematic approach to collaboration with the data science community, setting early guardrails for progress, and implementing principled platform development. Gain insights into the technology stack and architecture supporting billions of daily predictions across diverse ML applications. Understand the unique challenges and creative solutions employed in building an ML platform with a new team during unprecedented times.

Syllabus

Systematic Approaches and Creativity; Building DoorDash's ML Platform During the Pandemic


Taught by

MLOps World: Machine Learning in Production

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