Explore key insights and best practices for deploying machine learning models and integrating them into core business functionalities in this informative conference talk. Gain valuable knowledge from Susan Shu Chang, Principal Data Scientist at Clearbanc, as she shares lessons learned from deploying inference on-demand. Discover effective strategies for seamlessly incorporating machine learning into product development and enhancing business operations through practical examples and expert guidance.
Machine Learning Deployment and Product Integration - Best Practices and Lessons Learned
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Machine Learning Deployment and Product Integration
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
-
Machine Learning for Business
-
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning
-
End-to-End Machine Learning
-
Train compute-intensive models with Azure Machine Learning
-
Build and operate machine learning solutions with Azure Machine Learning
-
Machine Learning Foundations for Product Managers
