Production Machine Learning Systems

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Production Machine Learning Systems

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Skills: ML Pipelines90%

Key Takeaways

Builds high-performing machine learning systems in production environments

Original Description

In this course, we dive into the components and best practices of building high-performing ML systems in production environments. We cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed TensorFlow, and TPUs. This course is devoted to exploring the characteristics that make for a good ML system beyond its ability to make good predictions.

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