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Learner Reviews & Feedback for Production Machine Learning Systems by Google Cloud
1,026 ratings
About the Course
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.
Top reviews
SG
Aug 10, 2019
Es un curso algo confuso que requiere bastante tiempo para comprender las tematicas
VP
May 29, 2019
very good information. Lot of unknown facts in ML are brought up in the course.
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