Bringing CI/CD Practices to Machine Learning with MLOps
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the intersection of CI/CD practices and Machine Learning in this insightful 20-minute conference talk by Robert Hafner from Comcast. Gain a comprehensive understanding of MLOps and its significance in today's tech landscape. Delve into the model development cycle, from initial data exploration to final deployment, and discover how established CI/CD principles can be effectively applied at each stage. Learn how these practices not only accelerate the development of machine learning models but also introduce crucial safety measures. Whether you're an ML engineer, data scientist, or simply curious about the field, acquire valuable knowledge on integrating CI/CD methodologies into ML pipelines to enhance model quality and development efficiency.
Syllabus
Bringing CI/CD Practices to Machine Learning with MLOps - Robert Hafner, Comcast
Taught by
Linux Foundation
Tags
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera