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Accelerators Made Easy - Improving MLOps at Loblaw Digital Using Vertex AI

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Vertex AI Courses Data Science Courses Machine Learning Courses MLOps Courses Recommendation Systems Courses Matrix Multiplication Courses TPUs Courses

Course Description

Overview

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Discover how Loblaw Digital leverages Google Cloud Platform's Vertex AI suite to enhance MLOps and build an efficient matrix multiplication service. Learn about the challenges of provisioning specialized hardware for machine learning operations and how this solution supports various recommendation engines. Explore the implementation of scalable and efficient data systems that deliver relevant products and content to users. Gain insights from Joseph Grosso, a Machine Learning Software Engineer at Loblaw Digital, as he shares his experience in designing reliable and maintainable data systems. Understand the significance of matrix multiplication in feature-engineering and model-training pipelines, and how specialized hardware like GPUs and TPUs can significantly improve performance.

Syllabus

Accelerators Made Easy Improving MLOps at Loblaw Digital Using Vertex AI


Taught by

Toronto Machine Learning Series (TMLS)

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