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Principles of Strategic Data Science

You're reading from   Principles of Strategic Data Science Creating value from data, big and small

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Product type Paperback
Published in Jun 2019
Publisher
ISBN-13 9781838985295
Length 104 pages
Edition 1st Edition
Languages
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Author (1):
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Peter Prevos Peter Prevos
Author Profile Icon Peter Prevos
Peter Prevos
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The Limitations of Data Science

The problems that data science can solve seem to be limitless when reading some of the articles on the web and in literature. There are, however, theoretical and practical limitations to what a computational analysis can achieve. Besides limits to what we can do, there are also ethical limits to what we should be doing. This final section reflects on some of the boundaries of data science.

The Limits of Computation

The limitations of computation relate to some complex and deeply philosophical issues concerning the limits of human knowledge. This short introduction to this problem looks at the restrictions of measuring physical and social processes, and the limitations of algorithms.

  • Limitations of Measurement: The first limitation relates to the fact that our collection of data will always be an incomplete description of reality. In a physical system, choose which points to measure, at which frequency, by which method, and so on. We need...
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