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How to Deploy Machine Learning Models in Production

Data Science Festival via YouTube

Overview

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Discover the intricacies of training and deploying machine learning models in production environments through this comprehensive conference talk from the Data Science Festival Summer School. Join data scientists Elliot Marsden and Rohit Naini from Cleo as they delve into the challenges of using ML models for real-time decision-making. Explore a standardized framework for experimenting, building, packaging, maintaining, retraining, and deploying models in production settings. Learn scalable techniques that ensure robust product integration and gain valuable insights into overcoming common pitfalls in the deployment process. This hands-on session equips data professionals with practical knowledge to streamline their machine learning workflows and successfully transition models from development to production.

Syllabus

How To Deploy Machine Learning Models in Production

Taught by

Data Science Festival

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