January 2018
Beginner to intermediate
412 pages
9h 33m
English
Content preview from Practical Big Data Analytics
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Characteristics of successful projects
Data science projects, by their very nature, take a long time to realize a return on investment. In particular, it is hard to accurately measure the success of projects that involve making long-term predictions. As noted in an earlier chapter, for departments to advance the cause of data science, it is essential for them to show early successes. In general, projects that a) are short term; b) have a measurable outcome; and c) can benefit and will be used a wide range of users are some of the key factors that help to establish credibility and ensure success of data science related projects.
An example of such a project is Arterys, a cloud-based company that developed a deep learning algorithm in late ...
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