Model Deployment Strategies
Jordan discusses the cost-effectiveness of cloud-based model testing and deployment strategies. The conversation delves into the importance of quantizing models for production use and the challenges of dealing with strongly typed inputs in machine learning.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Jordan Edwards: ML Engineering and DevOps on AzureML
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