This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.阅读更多.
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Production Machine Learning Systems 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。