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Machine Learning Logistics
Machine learning offers a rich potential for expanding the way we
work with data and the value we can mine from it. To do this well in
serious production settings, it’s essential to be able to manage the
overall flow of data and work, not only in a single project, but also
across organizations.
This book is for anyone who wants to know more about getting
machine learning model management right in the real world,
including data scientists, architects, developers, operations teams,
and project managers. Topics we discuss and the solutions we propose
should be helpful for readers who are highly experienced with
machine learning or deep learning as well as for novices. You don’t
need a background in statistics or mathematics to take advantage of
most of the content, with the exception of evaluation and metrics
analysis.
work with data and the value we can mine from it. To do this well in
serious production settings, it’s essential to be able to manage the
overall flow of data and work, not only in a single project, but also
across organizations.
This book is for anyone who wants to know more about getting
machine learning model management right in the real world,
including data scientists, architects, developers, operations teams,
and project managers. Topics we discuss and the solutions we propose
should be helpful for readers who are highly experienced with
machine learning or deep learning as well as for novices. You don’t
need a background in statistics or mathematics to take advantage of
most of the content, with the exception of evaluation and metrics
analysis.
89 pages, ebook
Published August 23, 2017
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