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Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.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.