Abstract
In this chapter, we’ll explore how we used Parallel Agile (PA) to do a machine learning proof of concept with 15 grad students over one semester and then began work on the minimum viable product (MVP) the following semester. This work remains ongoing (with a couple of patents pending) as we’re writing the book.
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Reference
National Highway Traffic Safety Administration (NHTSA). 2017. Drunk driving. https://www.nhtsa.gov/risky-driving/drunk-driving. Accessed 18 July 2019.
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Rosenberg, D., Boehm, B., Stephens, M., Suscheck, C., Dhalipathi, S.R., Wang, B. (2020). Parallel Agile for Machine Learning. In: Parallel Agile – faster delivery, fewer defects, lower cost. Springer, Cham. https://doi.org/10.1007/978-3-030-30701-1_9
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DOI: https://doi.org/10.1007/978-3-030-30701-1_9
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