Development of machine learning conveyors. Automation of the life cycles of the model using TensorFlow
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Currently, companies spend billions of dollars on machine learning projects (MO), but these funds can be wasted if the effective deployment of MO models is not used. Here is a practical guide written by H. Khapke and K. Nelson, with whom you can safely hit the road at all stages of automation of the MO conveyor, built on the basis of the Tensorflow ecosystem. You will get acquainted with the methods and tools that will significantly reduce the deployment time (from several days to several minutes) so that you can focus on the development of new models, and not on the support of outdated systems. Data analysis experts, MO engineers and Devops engineers will learn how to go beyond the simple development of models and successfully implement their projects in the field of data science, and managers will better understand how to significantly reduce the terms necessary for the implementation of such projects
Author:
Author:Hannes Khapke
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-97060-886-9
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